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BUGSSAS Innovate 2026 Papers - Index
174 papers. Source: SAS Innovate conference proceedings.
| # | Title× | Authors× | Abstract× | Keywords× | Extras | Pages |
|---|---|---|---|---|---|---|
| 1 | 11 Essential SAS Procedures in SAS Viya Workbench for Building and Governing Trustworthy AI | Vrushali Sawant | Presentation: Transform your AI governance from policy to practice using Viya Workbench built-in SAS procedures designed for trustworthy AI. This practical session demonstrates how to leverage specific SAS procedures to automate governance checks, ensure model fairness, maintain audit trails, and validate AI systems-all without building custom frameworks from scratch. Learn the exact procedures, parameters, and workflows that turn governance requirements into executable code | source youtube |
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| 2 | A Guide to Connecting Data Quality, Data Stewardship and Data Governance | Mary Ann Hopper | Presentation: As data assets and usage needs grow (especially with the application of AI), so do the realities of needing to better utilize data as a trusted and reusable asset. A solid Data Governance organization framed around Data Stewardship with clearly defined objectives provides the discipline and methodology to do just that. This session will explore common Data Quality challenges and their associated misconceptions. Data Stewardship is key to enabling Data Quality so the session will focus on building a Data Governance program that supports the role of the Data Steward. Participants will be left with a clearer understanding of how Data Quality, Data Stewardship, and Data Governance are key inputs into any data strategy. What if your biggest data problems weren't about tools at all-but about how your data is managed? In this session, the speaker cuts through the AI hype to spotlight the fundamentals: data quality, stewardship, and governance as the true foundation for reliable analytics. Through relatable examples and real-world "data chaos" scenarios, you'll see why unclear definitions, inconsistent rules, and unmanaged data flows quietly derail even the most advanced initiatives. If you're looking to turn messy, fragmented data into a trusted asset-and finally stop fighting the same issues over and over-this talk shows you where to start and how to make it stick | source youtube |
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| 3 | A Map to Success with Data Visualization Using ODS Statistical Graphics | Richann J. Watson, Louise S. Hadden |
Presentation: This session walks through how to create advanced data visualizations in SAS using ODS Statistical Graphics, focusing on transitioning from PROC SGPLOT to the more flexible Graph Template Language (GTL). It explains how to build reusable graph templates, customize layouts, and combine multiple visuals-such as bar charts and maps-into a single output. Attendees learn practical techniques like using PROC TEMPLATE and SGRENDER, as well as tips for simplifying auto-generated template code. The goal is to help users move beyond basic charts to more controlled, reusable, and production-ready visualizations |
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| 4 | Accelerate Your Move to Viya 4 with Viya 3 Content Assessment | James Holman | Presentation: Migrating from SAS Viya 3 to Viya 4 can expose hidden dependencies, compatibility gaps, and infrastructure assumptions that delay progress and increase risk. In this session, James Holman demonstrates how Viya 3 Content Assessment tools provide a comprehensive view of your environment-inventorying assets, identifying dependencies, flagging hard-coded paths, and uncovering duplicate content. You'll see how these tools transform discovery into actionable migration planning, helping teams reduce surprises and move forward with confidence. The result is a faster, more predictable path to modernizing analytics in SAS Viya | source youtube |
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| 5 | Accelerating Clinical Analytics: Your Path from SAS LSAF or SAS 9 to SAS Clinical Acceleration | Pritesh Desai | Video recording: Migrating clinical analytics workflows from SAS 9 or SAS Life Science Analytics Framework (LSAF) to SAS Viya requires balancing modernization with the strict governance, auditability, and lifecycle needs of the life sciences industry. This session explains how SAS Clinical Acceleration extends Viya with life sciences-specific capabilities like audit trails, version control, repository management, and AI-assisted clinical workflows. You'll learn what carries forward from LSAF, what must be redesigned, and how APIs and modular components enable more flexible architectures. The session also outlines key migration considerations and the roadmap toward full feature parity with existing clinical solutions | source youtube |
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| 6 | Accelerating Clinical Insights: Leveraging Generative AI for Enhanced SDTM, ADaM, and TLF Efficiency | Pankaj Attri, Matthew J. Becker |
Video recording: Clinical programming is still full of repetitive, manual steps-but generative AI is starting to change what that work looks like. This session shows how SAS is exploring AI-assisted clinical data transformation, using LLMs to help generate raw-to-SDTM mappings, SDTM-to-ADaM specifications, code, and traceability views across the clinical data flow. The emphasis is not on replacing programmers, but on giving them a stronger starting point: automating the bulk of mapping and code generation while experts review, validate, and finalize the outputs. For teams under pressure to shorten submission timelines, the approach offers a practical path to reduce manual effort, improve consistency, and keep human oversight where it matters most. Presenters: Pankaj Attri and Matt Becker, SAS | source youtube |
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| 7 | Accelerating Decisions with IoT Analytics: From Data to Action in Real Time! | Bryan Saunders | Presentation: This session shows how organizations can move from raw machine and sensor data to faster, better operational decisions using SAS IoT analytics. It walks through the full lifecycle-data ingestion, exploration, model development, deployment, and decision support-and demonstrates how streaming analytics, guided modeling, containerized deployment, and agentic AI can help teams operationalize analytics at scale. The examples focus on practical industrial use cases such as predictive maintenance, manufacturing quality, worker safety, energy optimization, supply chain, and after-market service. The central message is that success comes not just from building models, but from turning data in motion into timely action | source youtube |
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| 8 | Accelerating Intelligent Decisioning Development with Python, Containers and Automation | Magnus Settemsli Mogstad | Presentation: Organizations need to deliver analytics faster without compromising reliability. Traditional workflow development is often slow to progress and can increase the risk of errors. This session demonstrates how containerization, Git, and automated pipelines deployed to containerized environments transform the development lifecycle. Attendees will learn how local environments using Python, containers, and database management tools can closely replicate production-enabling rapid testing, consistent data handling, and fewer deployment issues. The session shows how this approach supports faster iteration, stronger version control, and reduced downtime, helping teams deliver SAS solutions with greater speed and confidence in today's fast-paced environment. What if a bank could cut deployment time from over a year to just weeks-while actually reducing risk? In this session, Magnus from DNB reveals how moving to SAS Viya unlocked a modern development pipeline powered by Git, containers, and automated testing. You'll get a behind-the-scenes look at how local development, CI/CD, and database versioning transformed slow, error-prone processes into fast, reliable workflows. If you're curious how disciplined engineering practices can revolutionize decisioning at scale, this is a story worth watching | source youtube |
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| 9 | Accelerating Value with SAS Viya: Introducing SAS Viya Forge | Jan Stienstra | Presentation: SAS Viya is known for its flexibility across infrastructure providers, software stacks, and deployment models. But how do you design, deploy, and operate Viya environments to deliver consistent value? Enter SAS Viya Forge: a community-driven repository of curated, versioned, and tagged assets built by SAS employees, partners, and customers. What's inside Viya Forge? Reference Architectures for specific industries, contexts, or requirements. Deployment, Implementation and Operating Guides on how to manage Viya environments effectively. Best Practices for concise instructions for a task or requirement. Validation Scenarios with tooling and test cases to automate performance and reliability testing. Built with open-source tooling, Viya Forge is open to anyone. This session will demo the site, explore its capabilities, and show how you can contribute | source youtube |
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| 10 | Advanced viewing and editing of SAS data in SAS Visual Analytics and SAS Studio | Scott Leslie | Presentation: In SAS Visual Analytics, a critical aspect of report building is understanding your data. With the DataViewer in SAS Visual Analytics, you can easily view the source data for the report, filter it, sort it, and search for values. If you find discrepancies in the data, you can easily edit values, paste in values from another source, add columns, delete columns, add rows, and delete rows. This gives you great flexibility to get your report data ready. In SAS Studio, reviewing existing data and viewing generated data is a frequent task. With the recent release of SAS Studio, the DataViewer provides a fast and easy way to perform common data viewing operations, even on very large tables. Come see how you can improve your workflow by using the DataViewer in these commons SAS Viya solutions. Discover how SAS is reimagining data interaction on the web with a powerful, desktop-like Data Viewer experience-designed to handle massive datasets with speed and flexibility. This walkthrough teases intuitive editing, seamless EXCEL integration, and advanced capabilities like audit tracking and undo/redo, all built directly into SAS applications like Visual Analytics and SAS Studio. But that's just the beginning-get a glimpse of upcoming innovations, including AI-powered editing predictions that anticipate your next move. Watch the full video to see how these features come together to transform how you explore and edit data |
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| 11 | Agentic AI and Dynamic Actuarial Modeling: The Future of Intelligent Underwriting | Gajanan Deshmukh, Aniket Ingle, Oana Avramescu |
Video recording: As market volatility, new mobility risks, and changing customer expectations intensify, insurers must underwrite faster and smarter. This session demonstrates how agentic AI, combined with SAS Dynamic Actuarial Modeling and SAS Intelligent Decisioning on SAS Viya, creates a self-optimizing underwriting ecosystem. By fusing actuarial precision with machine learning, the approach models claim probability, severity, and retention while emulating expert underwriting judgment. Autonomous feedback loops and continuous recalibration enable dynamic adaptation, uniting actuarial science, decision intelligence, and adaptive AI to enhance profitability, transparency, and trust in an evolving risk environment. What happens when traditional underwriting meets its limits-and AI still falls short? This session dives into the hidden gaps in today's models and introduces Agentic AI as a game-changing "digital coworker" that thinks, adapts, and explains decisions in real time. Through a compelling demo, you'll see how gray-zone risks-those tricky, borderline cases-can be resolved with smarter, faster, and more transparent decisions. Stick around to discover how SAS brings it all together with dynamic modeling, real-time feedback, and enterprise-ready governance | source youtube |
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| 12 | Agentic AI in Action: Automating Vital Records Intelligence through Human-AI Collaboration | Yanling Shi | Presentation: Vital records systems handle large, sensitive datasets that require ongoing quality control. This session introduces the VitalData Agent - an agentic AI prototype built on SAS Viya - designed to automate critical QC tasks for birth data. Combining machine learning with human review, the agent supports three key functions: Schema validation (detecting changes in variable structure) Missing value detection (flagging incomplete records and trend anomalies by county or week) Trend monitoring (identifying unusual data shifts) You'll also learn about the long-term roadmap. Discover how AI is poised to transform public health data in this compelling talk by Utah's Director of Data, Yanling Xi. She reveals a forward-looking vision-"Vital Agent"-that blends automation and human oversight to tackle complex data quality challenges. Along the way, she unpacks the real-world hurdles of enterprise AI and shows how SAS Viya CoPilot is already turning natural language into powerful, interactive dashboards. If you're curious about where AI meets analytics, governance, and real impact-this is a must-watch | source youtube |
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| 13 | Agentic AI in Financial Services: From Automation to Intelligent Decisions | Sri Raghavan, Adolfo Lopez, Andrea Pohlman, Stephen Greer |
Presentation: Join SAS and AWS alongside leaders from JP Morgan Chase and Allianz to explore how Agentic AI is transforming decision-making across banking and insurance. This session will highlight how intelligent automation, adaptive learning, and insight generation are driving operational efficiency, risk management, and customer-centric innovation. Hear real-world perspectives on how Financial Services organizations are leveraging Agentic AI to build trust, scale impact, and stay ahead of disruption. · Adolfo Lopez (JPMC) · Andrea Pohlman (Allianz) · Sri Raghavan (AWS) · Jack Thompson (SAS; Moderator). What's real about Agentic AI-and what's just hype? In this candid panel, industry practitioners pull back the curtain on where AI adoption truly stands today: powerful, fast-moving, but still far from fully autonomous. You'll hear honest insights on balancing innovation with regulation, why most real progress is happening in low-risk, human-guided workflows, and the surprising cultural challenges shaping adoption. Watch to discover how leaders are cutting through the noise-and where the biggest opportunities (and risks) really lie | source youtube |
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| 14 | AI in Health Care and Life Sciences: Turning Data Into Life-Saving Decisions | Stu Bradley, Udo Sglavo, Andrea Beccari |
Video recording: In life sciences, every decision carries enormous weight, from accelerating drug discovery to ensuring treatments reach patients on time. This session shows how a leading pharmaceutical manufacturer, Dompé, uses SAS Viya to move faster from AI models to production, powering large-scale discovery through an AI factory and laying the groundwork for full agentic integration. The conversation then expands into supply chains, where Agentic AI embeds trusted analytics directly into planning discussions, enabling teams to test scenarios and make decisions in real time. Together, these examples illustrate how human expertise and AI work side by side to reduce friction and improve outcomes across high-stakes industries | source youtube |
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| 15 | AI-Driven Customer Churn Prediction and Prevention with SAS | David Wiehle | Presentation: Reducing customer churn requires more than prediction-it demands coordinated, real-time action. In this session, you'll see how an end-to-end decision flow combines predictive models, eligibility logic, and offer optimization to identify at-risk customers and deliver targeted retention strategies. The demo also highlights how external APIs and LLMs can be integrated to generate personalized outreach, such as dynamic email content, directly within the decisioning process. The result is a scalable, governed approach to turning analytics into measurable customer retention outcomes | source youtube |
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| 16 | AI-Powered SAS Code Optimization: Let an Agent Do the Heavy Lifting | Joshua Griffin | Video recording: AI-powered code optimization is transforming how SAS users improve performance by automatically identifying bottlenecks and rewriting inefficient code. This session introduces SAS "performance agents" that analyze SAS programs, test multiple optimization strategies in parallel, and generate faster, validated alternatives without requiring manual tuning. Through examples and demos, you'll see how small changes, like switching PROCs or restructuring algorithms, can deliver massive speed gains while preserving accuracy. The session highlights how agents can scale performance improvements across workloads, helping teams iterate faster and get more value from cloud compute | source youtube |
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| 17 | Aldermore Bank's Managed Cloud Journey | Jimmy Shelley, Eddie Grant, Stewart Jardine |
Video recording: This session shares a real-world case study of Aldermore Bank's migration from multiple on-premises SAS 9.4 environments into a unified managed cloud deployment on SAS Viya. The speakers walk through the strategy, planning, and execution required to consolidate systems, modernize infrastructure, and enable scalability. Key outcomes included improved performance, reduced operational overhead, and the ability to adopt new SAS capabilities such as Intelligent Decisioning and Visual Analytics. The session also highlights practical lessons around preparation, user adoption, and managing change during large-scale cloud transformations | source youtube |
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| 18 | Applied Hybrid Quantum Computing Using Neutral Atoms With QuEra Computing | Jonathan Wurtz, Bill Wisotsky |
Presentation: This session introduces hybrid quantum computing using neutral-atom hardware from QuEra Computing and shows how it can be combined with SAS workflows for real-world analytics. The presentation covers the basics of neutral-atom quantum computing, then focuses on quantum reservoir computing (QRC)-a hybrid approach where quantum transforms data into a richer feature space and classical machine learning models are trained on the resulting outputs. The speakers show how this process can be integrated into SAS, including SAS Studio and SAS Model Studio, so users can work with quantum-enhanced features alongside familiar classical modeling workflows. The overall message is that the near-term value of quantum is in hybrid use cases, especially where quantum and classical systems are used together rather than separately | source youtube |
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| 19 | Automating IT-Incident Workflows at Fraport AG | Martin Herold, Christian Wrobel |
Presentation: Fraport AG operates a complex, global data and analytics ecosystem supported by teams in Germany and India. To improve speed and consistency in IT incident handling, Fraport relies on SAS Intelligent Decisioning to automate key workflow steps-from anlyzing incident descriptions to generating AI-driven follow-up questions based on service management data | source youtube |
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| 20 | Autonomous Data Cleaning Agent: Pair LLMs with SAS Workflows | Urvi Mehta | Presentation: Data cleaning is often the biggest bottleneck in modern AI workflows, consuming the majority of time before modeling even begins. This session introduces an autonomous approach that pairs SAS Viya's statistical profiling with LLM-based reasoning to diagnose data quality issues and recommend structured, auditable cleaning actions. The design separates detection from reasoning to improve privacy and reliability, logs every recommended action for traceability, and uses validation (including human-in-the-loop) to keep outputs trustworthy and production-ready. This practical walkthrough shows how structured JSON decisions can drive repeatable execution and clearer reporting on what was cleaned, what remains unresolved, and why | source youtube |
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| 21 | Boosting Data Engineering Productivity with SAS Viya Copilot in SAS Studio | Alexey Vodilin | Presentation: Data engineers spend too much time on repetitive tasks-documentation, code formatting, debugging, and searching for the right steps in product docs. This session introduces new Viya Copilot capabilities in SAS Studio designed to remove that friction. You'll see how Viya Copilot can auto-generate transformation descriptions, explain or produce SAS code inline, and provide step-by-step guidance pulled directly from SAS documentation. We'll walk through real examples of Viya Copilot speeding development, improving clarity, and supporting modern data engineering workflows. Attendees will also get a first look at what's coming next on the Viya Copilot roadmap. What if your everyday SAS Studio workflow could suddenly become dramatically faster, smarter, and easier? In this session, Alexei gives a first look at upcoming Copilot capabilities in SAS Studio-showing how code generation, code explanation, and even flow-building assistance could transform the way data engineers and data scientists work. The demos make it clear this is more than a simple chatbot: it's a hands-on productivity boost built directly into the environment many teams already use. If you want a glimpse of how AI could reshape SAS development and data preparation, this is definitely a video worth watching | source youtube |
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| 22 | Bring Your Models to Life: Introducing Automatic Visuals from Python Models in SAS | Dan Heath | Presentation: SAS is extending its automatic visualization capabilities beyond traditional procedures into Python-based modeling workflows. This session dives in to how Python models in SAS can now generate automatic visual outputs-similar to ODS Graphics-eliminating the need for manual plotting with libraries like Matplotlib or Seaborn. You'll also see how the new "customized results" functionality enables flexible control over which charts and tables to display, reorder, or export without rerunning analyses. The result is a more seamless and efficient analytics experience that brings consistent visualization workflows across SAS and Python |
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| 23 | Build an Industrial AI Command Center - AI-Driven Worker Safety | Guy Merritt | Presentation: This session demonstrates how organizations can move beyond isolated AI use cases and instead build a unified, platform-based AI command center for industrial operations. It showcases how computer vision, edge computing, and predictive analytics can proactively monitor worker safety, detect risky behaviors, and prevent accidents before they happen. By integrating real-time alerts, geofencing, and object detection with operational systems, the solution enables continuous safety oversight and improved compliance. The core idea is shifting from reactive safety measures to proactive, data-driven prevention powered by AI. Presenter: Guy Merritt, KMS Technology | source youtube |
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| 24 | Build Functions for Vector and Complex Number Math using PROC FCMP | Paul D. McDonald | Presentation: Not every SAS environment includes SAS/IML - but that doesn't mean you can't perform advanced mathematics. This session introduces a custom-built set of functions, call routines, and macros that bring vector analysis and complex number operations directly into Base SAS. Learn how to use arrays with PROC FCMP to handle tasks like cross products, dot products, vector norms, and complex arithmetic. Attendees will see real-world applications in analytics, engineering, and business, with code samples they can adapt immediately |
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| 25 | Build on a Solid Foundation. Don't Let Your AI Strategy Collapse Before It Starts | Sterlina Smith, Manisha Khanna |
Presentation: AI is advancing fast, with buzzwords like agentic AI, quantum AI, and synthetic data dominating conversations. Despite interest in generative AI and autonomous systems, few have built the foundation to scale AI effectively and responsibly. Most dive in without a clear strategy-missing governance and cross-functional collaboration needed for real results. That's where the TM Forum AI Native Blueprint comes in. This framework guides strategy, aligns technology, and builds trust by applying AI thoughtfully across people, processes, and platforms. TM Forum is partnering with SAS and others to create a telecom industry-specific AI Blueprint for practical, ROI-driven implementation. Join us to see how this framework can be operationalized through a real-world example--scaling AI with purpose and impact. What if the biggest barrier to scaling AI isn't the technology-but everything around it? This session dives into the surprising gap between AI hype and real-world impact, revealing why most organizations struggle to move beyond pilots to trusted, large-scale deployment. Through lessons from SAS and TM Forum, you'll uncover the hidden challenges of governance, trust, and operationalizing AI-especially with fast-evolving technologies like large language models. If you want to understand what it really takes to build AI that works responsibly and at scale, this is a conversation you won't want to miss | source youtube |
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| 26 | Build, Refine, and Explain Models Faster with SAS Viya Copilot | Ben Tomlinson | Presentation: SAS Viya Copilot is transforming how users build and optimize machine learning pipelines in Model Studio by enabling natural language interaction across the entire workflow. In this session, Ben Tomlinson showcases new capabilities-including end-to-end pipeline automation, full-pipeline tuning, and what-if scenario analysis-that allow users to build and refine models faster with minimal manual effort. You'll also see how Copilot provides targeted explanations of model results, helping users better understand performance without digging through complex outputs. The result is a more intuitive, efficient, and explainable modeling experience within SAS Viya | source youtube |
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| 27 | Building a Multilingual Statistical Computing Environment around SAS Viya | Dilip Raghunathan, Anand Ganesan |
Video recording: What does it take to move beyond a single analytics tool and build an environment where SAS, R, Python-and whatever comes next-work seamlessly together? This session walks through Regeneron's journey to create a unified statistical computing environment on SAS Viya, designed to connect data, scale on demand, simplify the user experience, and keep governance front and center. Instead of forcing users into one tool, the platform brings best-in-breed technologies together on shared storage, with consistent access control and auditability across everything. The result is a flexible, cloud-native environment that supports large-scale clinical research, reduces friction for users, and lays the foundation for AI-driven workflows | source youtube |
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| 28 | Building Trust in Clinical AI: Continuous Monitoring and Visual Governance in the ICU | Imane Ihaddouchen, Imke Bloemen, Julia van Wijngaarden |
Presentation: AI tools are entering healthcare rapidly, yet safe adoption remains difficult. Only 2% of ICU AI models reach real use, largely due to limited monitoring once deployed. This session introduces the Generative AI Control Center, developed at Erasmus MC using SAS Viya, which continuously evaluates AI tools through automated LLM-based assessments and visual risk scoring. Attendees will learn how to implement transparent, real-time monitoring that builds clinician confidence, identifies when tools are helpful or harmful, and enables responsible and scalable AI use in the ICU. We also show how ICU Maps and the Respiratory Dashboard support daily workflow, illustrating how continuous oversight helps hospitals meet upcoming regulatory demands while ensuring AI truly supports patient care. What does it really take to turn AI in healthcare from hype into real, life-changing impact? In this compelling talk, researchers from the REAL Lab expose why only a tiny fraction of models ever reach clinical practice-and reveal the hidden barriers of trust, ethics, and workflow integration. Through a powerful ICU case study, you'll see how responsible AI, stakeholder involvement, and rigorous validation can transform promising ideas into tools that actually help clinicians and patients. If you want to understand what's missing in today's AI revolution-and how to fix it-this is a must-watch | source youtube |
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| 29 | Claude the SAS Programmer: Watch Agentic AI Write SAS 9 Code in Real Time | Joe Matise | Video recording: AI innovation is accelerating - and SAS 9 isn't getting left behind. In this session, learn how Agentic AI can now generate SAS 9 code using the SAS Visual Studio Code Extension and the SAS9py package. You'll see how to set yourself - and your team - up for success using code extensions, streamlined workflows, and automation through agent-generated scripts. No prior experience with SASPy, Agentic AI, or VS Code required. Whether you run SAS locally or on a server, this session is designed to help any programmer benefit from trusted, explainable AI assistance | source youtube |
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| 30 | Closing the Loop: Meeting SMEs Needs and Bank Business Goals through Smarter AI-Oriented Decisions | Carla Boustany, Craig Kestecher |
Video recording: Banks see opportunity in SME lending, but outdated credit processes, siloed teams, and growing market volatility make it hard to balance growth with risk. In this session, Carla Boustany and Craig Kestecher show how smarter, AI-driven decisioning connects portfolio strategy, credit risk, and personalized marketing into a single feedback loop. Through a live demonstration, you'll see how next-best offers are generated, priced, negotiated, and approved in real time, while continuously optimizing return on capital and regulatory compliance. Watch how precision decisioning replaces one-size-fits-all lending with faster approvals, better customer journeys, and stronger financial outcomes | source youtube |
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| 31 | Combating Pharmaceutical Counterfeiting with Agentic AI and Multimodal Intelligence using SAS | Kevin Babyak | Presentation: Pharmaceutical counterfeiting is a global crisis with significant human and financial impact, requiring organizations to detect and disrupt increasingly sophisticated illicit trade networks. In this session, a healthcare data science team shares how they evolved from siloed analytics and dashboards to a unified, agentic AI-driven framework that integrates multimodal data-ranging from supply chain signals to computer vision insights. By combining predictive modeling, generative AI, and coordinated agents, the solution accelerates detection, improves signal confidence, and enables faster investigation of high-risk patterns. While still maturing, this approach demonstrates how advanced AI systems can transform how organizations protect patients, secure supply chains, and combat complex fraud ecosystems | source youtube |
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| 32 | Compute Tasks in SAS Viya: Supercharging Stored Process Performance | Prasad Poozhikalayil | Presentation: For teams moving from SAS 9 to Viya, one of the biggest concerns is whether migrated stored processes will still feel fast, responsive, and familiar. This session gets directly into that migration pain point, showing how Compute Tasks give short-duration Viya jobs a lighter, faster execution path than the standard Job Execution Service. By using reusable compute servers, session-state support, and smarter scaling controls, teams can preserve the interactivity users expect while taking advantage of Viya's cloud-native architecture. It's a practical, performance-focused session for anyone modernizing stored processes without wanting users to feel like they lost speed in the move | source youtube |
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| 33 | Customer Intelligence Solution Connect (2026) | Mike Blanchard, Steve Hill, Rob Taylor, Kate Parker, Scott Feldman, Stephanie Ellison, Amy Glassman, Jon Moran, Jennifer Zuber, Craig Kestecher, Alex Despa, Mac Carlton, Cameron Fisher |
Video recording: Be part of the annual Customer Intelligence Connect at SAS Innovate, where marketing leaders, data strategists, and tech innovators come together to explore the future of customer engagement. This year's session is designed to spark ideas, showcase innovation, and guide you with the tools to deliver personalized, multi-channel experiences at scale. Whether you're navigating complex data ecosystems or optimizing customer journeys, this is your opportunity to connect, learn, and lead | source youtube |
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| 34 | Data-Driven Payment Integrity to Help Agencies | Kiran Purabia | Video recording: Billions of dollars vanish each year to procurement fraud, waste, and abuse, and most systems only flag the risk after the damage is done. In this demo, SAS's Kiran Purabia follows "Jane", a seasoned investigator, as she uses SAS Payment Integrity for Procurement to break data silos, triage alerts at both the event and supplier level, and uncover a full-blown fraud ring hiding in plain sight. You'll see AI-assisted natural language search, a Viya Copilot-inspired Procurement Intelligent Assistant powered by Model Context Protocol, and a network view that turns scattered red flags into one decisive case. Watch to see how investigators go from spotting risk to stopping it on a single screen | source youtube |
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| 35 | Designing Governed Agentic AI Workflows for Healthcare Delivery | Tamas Bosznay | Presentation: As healthcare systems face rising complexity and demand, Agentic AI offers a new path forward. In this session, explore how SAS Intelligent Decisioning and large language models (LLMs) can be integrated with clinical protocols, deterministic logic, and real-time data to optimize patient care workflows. You'll see how to design transparent, explainable agents that combine ML models with rule-based logic - aligning with regulatory requirements and governance best practices. From diagnostics to treatment planning, Agentic AI can help clinicians make faster, more consistent decisions. Learn how to build patient-centric AI workflows that serve aging populations, reduce delays in care, and increase operational efficiency - all while maintaining trust and compliance | source youtube |
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| 36 | Designing Reliable Data Pipelines with SAS: Profiling, Policies, and Policy Bindings | Lavanya Ganesh | Presentation: Ensuring reliable, high-quality data pipelines is critical in regulated industries where every analytic decision must be trusted. This session shows how SAS Information Catalog profiles data using statistical, text, correlation, and semantic techniques to detect issues like missing data, drift, pattern anomalies, and sensitive-data risks. You'll see how these signals feed a rules-monitoring layer that automatically creates expectation checks, flags violations, and surfaces issues through intuitive dashboards. Attendees will learn how versioned profiles, reproducible validation runs, and policy bindings work together to build pipelines that are governed, transparent, and ready for high-stakes analytics. What if governing sensitive data at scale didn't require endless manual effort-or risky guesswork? In this session, Lavanya reveals how SAS combines semantic profiling, reusable business rules, and machine learning to automatically identify and tag critical data like PII and PHI across massive datasets. Through a live demo, you'll see a powerful pipeline come to life-from intelligent data discovery in SAS Information Catalog to automated classification and dashboard-driven validation. The real hook? Each layer builds confidence where the others fall short, turning fragmented data governance into a unified, reliable process. If you're curious how to make compliance faster, smarter, and far more scalable, this walkthrough shows exactly how it can be done | source youtube |
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| 37 | Designing smarter, more effective policies with Causal AI in SAS | Gunce Walton | Presentation: Designing effective policies requires understanding not just average outcomes, but who benefits most from an intervention. In this session, you'll see how causal AI techniques can uncover heterogeneous treatment effects and identify subpopulations that respond differently to incentives. Using a real-world reemployment experiment, the walkthrough demonstrates how causal discovery, inference, and deep learning approaches can inform targeted policy design. The result is a data-driven framework for building smarter policies that outperform one-size-fits-all approaches | source youtube |
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| 38 | Digital Twins Meet Conversational AI: Real-Time Deployment at Enterprise Scale | Steven Enck | Video recording: Digital twins can sound abstract until they're used to solve a real operational problem-like spotting production failures before they happen. This session shows how SAS brings digital twins, conversational AI, and real-time analytics together so users can describe a use case in natural language and let SAS AutoML for IoT generate the structure behind it. With SAS Retrieval Agent Manager helping populate the configuration and SAS Event Stream Processing powering real-time deployment, the workflow moves from conversation to trained models, live monitoring, and deployment-ready projects. It's a practical look at how organizations can build and scale digital twins faster, without making every user become a data engineer first | source youtube |
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| 39 | Discover SAS Data Maker | Shawn Pecze | Presentation: Data privacy and limited access to quality datasets often slow AI and analytics projects. SAS Data Maker solves this by generating realistic synthetic data that preserves statistical properties without exposing sensitive information. In this Super Demo, explore new features like multi-table support and advanced generation methods. See how the intuitive interface and built-in evaluation metrics help you innovate faster, test workflows, and develop models responsibly. What does it really take to generate high-quality synthetic data at scale-without risking privacy or breaking complex data relationships? This session gives you an inside look at SAS Data Maker, from how to acquire and deploy it in Azure to a hands-on walkthrough of its most powerful capabilities, including multi-table modeling and time-series generation. You'll see how real data is transformed into realistic synthetic datasets, complete with built-in privacy guarantees and flexible generation options. If you're curious how to safely expand your data for better modeling and experimentation, this demo offers a practical, end-to-end glimpse you won't want to miss | source youtube |
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| 40 | Eligibility Under Pressure: Navigating H.R.1, Error Risk, and What States Must Do Next | Andy Pitman, Albert Blackmon |
Presentation: Recent policy changes under H.R.1 are forcing states to rapidly scale eligibility redeterminations for programs like Medicaid and SNAP-significantly increasing workload and risk of administrative errors. This session explores how agencies can use modern data, analytics, and AI-driven capabilities to manage volume, improve accuracy, and maintain program integrity. By combining automation, anomaly detection, and intelligent document processing, organizations can reduce errors, detect fraud more effectively, and improve the overall applicant experience. The session also highlights how emerging agentic approaches could augment human workers by coordinating workflows, monitoring compliance, and proactively guiding eligibility processes | source youtube |
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| 41 | Enabling Financial Document Intelligence in SAS VIYA From PDFs to analytics-ready tables, and what to automate next! | Megan Sun | Presentation: Extracting key information from PDFs is a persistent challenge for insurers and banks, especially when documents are long, inconsistent, or produced in high volume. Manual review slows down processes, increases operational costs, and delays critical activities like underwriting, claims analysis, and model validation. See how SAS Viya's Computer Vision can automate PDF data extraction to reduce bottlenecks and improve scalability. You'll see two practical demos: single-policy feature extraction for targeted insights and a trained, multi-PDF batch workflow for large-scale processing. You'll learn how these capabilities help financial organizations accelerate turnaround times, improve accuracy, and modernize document-driven workflows. What if one of the biggest risks in financial models isn't the math-but the documents behind them? This session reveals how messy, unstructured data like PDFs, emails, and scanned contracts create major bottlenecks in banking and insurance workflows-and how SAS Viya can transform them into scalable, auditable pipelines. Through a hands-on insurance use case, you'll see how document intelligence can automate extraction, validation, and traceability, drastically reducing manual effort and human error. If you want a glimpse into how AI, low-code workflows, and document intelligence can modernize risk and audit processes, this is a story worth watching | source youtube |
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| 42 | Expanding MFA Across the SAS 9 Ecosystem: Unified Security for Every Entry Point | Zhiyong Li | Video recording: As enterprise security requirements evolve, multi-factor authentication (MFA) is becoming a baseline expectation-not an optional feature. This session outlines how SAS is expanding MFA across the SAS 9 ecosystem, moving from limited, UI-based authentication toward a unified, enterprise-ready architecture. It introduces support for broader entry points (including server-side and programmatic access) and integration with enterprise identity providers like Duo and Okta. The result is a more consistent, scalable security model that balances stronger protection with usability across all SAS workloads. Presenter: Zhiyong Li, SAS | source youtube |
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| 43 | Fifty Years of SAS: Code, Culture and Longevity with Jim Goodnight and Bryan Harris | James H. Goodnight, Bryan Harris |
Video recording: In this discussion, Jim Goodnight, SAS co-founder and CEO, and Bryan Harris, SAS CTO, reflect on SAS' 50 year evolution and how early technical and cultural decisions continue to drive performance, scalability and trust today. The conversation traces the origins of the SAS programming language, emphasizing its simplicity, computational efficiency and accessibility. Those early qualities enabled broad adoption and helped ensure long-term relevance | source youtube |
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| 44 | Fighting Fraud with Synthetic Image Detection | Robert Blanchard, Neela Vengateshwaran, Joshua Davies, Paul Kingdom, Milica Gallardo Petkovich |
Video recording: This session explores how generative AI has made it increasingly difficult to distinguish real images from synthetic or manipulated ones-and how that is fueling large-scale fraud. It demonstrates a solution built on SAS Viya that combines computer vision models, forensic image analysis, OCR, and large language models to assess image authenticity and support fraud decisions. The approach integrates directly into SAS Intelligent Decisioning, enabling automated outcomes such as approve, reject, or escalate to human review. The key takeaway is that trust in visual data can no longer be assumed-it must be actively evaluated through intelligent systems | source youtube |
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| 45 | Finding the Signal in the Noise: AI-Driven AML Alerts in SAS | Matt Ritter | Presentation: AML teams aren't short on alerts-they're drowning in them, with rules-based systems generating far more noise than signal. This session shows how SAS is tackling that problem with a machine learning layer that sits on top of existing monitoring, learning from historical investigations to rank alerts by risk. Instead of replacing rules or automating decisions, the model helps investigators focus on what matters most-pushing the highest-risk cases to the top while keeping humans firmly in control. The approach combines data quality checks, feature engineering, and model tournaments into a repeatable pipeline that turns messy alert streams into something far more actionable | source youtube |
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| 46 | Finding the Sweet Spots in SAS Viya Copilot for SAS Visual Analytics | Gregor Herrmann | Presentation: SAS Viya Copilot for SAS Visual Analytics is here! While GenAI is generating plenty of attention, its real value in day-to-day work can sometimes feel unclear. This session focuses on practical, real-world examples showing how SAS Viya Copilot supports SAS Visual Analytics users from data to insights - including report creation, report modification, and even report interpretation. Whether you're an experienced report developer, an occasional report author, or simply a consumer of insights, you will see examples where SAS Viya Copilot can help you work faster and smarter. What if creating dashboards, fixing data issues, and explaining insights could happen almost instantly-just by asking? In this session, discover how SAS Viya Copilot is transforming Visual Analytics with AI-powered assistance that speeds up everything from bulk edits and complex calculations to full report creation. Through real-world demos, see how Copilot can enrich data, automate tedious tasks, and even generate plain-language summaries to help both authors and viewers get more value from their reports. Whether you're a seasoned developer or just getting started, you'll walk away with practical ways to work faster, smarter, and with far less friction | source youtube |
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| 47 | Format Happens: Producing Data-Driven Decimal Places | Nancy Brucken | Presentation: Michigan SAS Users Group (MSUG) presentation at SAS Innovate Users Day 2026 | source youtube |
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| 48 | Frictionless Integration of SAS Solutions with Modern Lakehouses for Medication Adherence Risk | Joe Cabral, Jim Georges |
Presentation: Integrating SAS solutions with modern lakehouses for medication adherence risk often slows teams down because mapping source data into a required common data model can take weeks of manual engineering. In this session, we'll demonstrate a low-code approach that uses SAS access to DuckDB plus S3 table buckets (Iceberg) to land raw healthcare data cheaply, then uses a "Data Mapper" agent to map source metadata to a target SAS schema without touching the underlying data. You'll see how the agent generates mappings, flags items needing human review, and produces executable SQL that creates views or tables shaped exactly for the SAS Medication Adherence Risk pipeline. The result is a faster path from messy source files to governed, solution-ready data structures, with human-in-the-loop transparency built in | source youtube |
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| 49 | From Chaos to Clarity: How SAS Viya Copilot for Data Governance Helps You Find the Right Data, Fast | Vijaya Jas | Presentation: As data volumes grow exponentially, locating relevant information becomes increasingly complex-like finding a needle in a haystack. Viya Catalog Copilot addresses this challenge by enabling users to discover both expected and unexpected data insights through natural language queries. By translating plain text into sophisticated, faceted searches using GenAI, the Viya Catalog Copilot empowers users to navigate thousands of tables, models, jobs, and rules in Information Catalog with ease. This session will showcase how the Viya Catalog Copilot enhances productivity and relevance for data consumers, helping them uncover actionable insights faster and more intuitively. Unlock how Copilot transforms data governance by letting you explore, assess, and fix datasets-all through simple natural language queries, right inside the app. This walkthrough teases real scenarios, from identifying sensitive salary data issues to creating business terms and boosting SUV sales with AI-driven insights. See how Copilot not only surfaces hidden problems but also recommends concrete actions and strategies-without manual analysis. Watch the full video to discover how these capabilities can streamline your workflows and elevate your decision-making | source youtube |
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| 50 | From Data to Action: Achieve Analytics ROI with SAS' Enterprise Decisioning Solutions | Albert Qian | Video recording: More than 420 petabytes of data are created every single day by consumers and businesses, presenting an unprecedented opportunity to improve customer experiences, streamline business operations, and drive innovation. One of the opportunities to stand out is through enterprise decisioning technology, which combines data with business rules and custom workflows to create decisions that can be run at scale. Join us for a Super Demo where you will discover how easy it is to build and scale a decision with SAS Decision Builder | source youtube |
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| 51 | From Insight to Impact: Storytelling and Custom Visual Experiences with SAS Viya | Amalia Musters | Presentation: Dashboards are everywhere yet decisions often lag behind. The real challenge isn't generating insights - it is communicating them in ways that prompt understanding and drive action. This session explores how to transform analytics into compelling decision-ready experiences using storytelling in SAS Visual Analytics, custom visuals built with JavaScript and Plotly, and embedded interactivity with conversational interfaces. Attendees will discover how intuitive design, guided narratives, and compelling interfaces help users not just see the data but understand it, trust it, and act on it. Through real-world client use cases, we will demonstrate how effective communication turns data into better decisions, and how SAS Viya empowers you to build that bridge. Most organizations have no shortage of dashboards-just a shortage of decisions driven by them. In this engaging talk, Amalia Missers reveals why dashboards fail (overload, lack of business context, poor usability, and isolation from workflows) and what it takes to turn insights into action. Through vivid examples like the "Christmas tree dashboard," she shows how storytelling, smart design, and tailored visuals can transform confusion into clarity. Stick around to discover how SAS Viya-and a few powerful design principles-can bridge the gap and make your data truly matter | source youtube |
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| 52 | From Plan to Progress: Lessons from Posten Bring's Modernization Journey | Bendik Øvergaard, Torstein Heien-Sunde |
Presentation: Deleting your production system live is not just a technical milestone, it's a leap of trust. In this candid session, Posten Bring shares how they moved from SAS 9.4 on-prem to SAS Viya in managed cloud, modernizing not only their platform but their ways of working across the organization. You'll hear what it takes to migrate decades of legacy systems, onboard thousands of users, and drive real adoption, including the challenges that nearly derailed the journey. More than a migration story, this is a practical playbook for turning modernization into measurable progress | source youtube |
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| 53 | From Predictive to Generative Building Enterprise Grade AI Pipelines with SAS Viya | Lida Gharibvand | Presentation: As generative AI moves from pilots to production, organizations need proven patterns for deploying it securely and at scale. This session presents a practical framework for integrating generative AI into SAS Viya, grounded in real-world enterprise implementations. Attendees will learn how to combine large language models with classical analytics, apply retrieval-augmented generation (RAG) for greater accuracy, and establish enterprise-ready MLOps and governance for GenAI systems. Case studies from finance, healthcare, and customer intelligence highlight measurable impact-including reduced analyst effort, improved accuracy, and faster insights. What if the real problem with AI isn't generating answers-but trusting them? This talk challenges the hype around generative AI, revealing how even polished outputs can be dangerously wrong, and introduces a shift from "raw → RAG → right" to build truly reliable systems. You'll get a peek into a powerful architecture that combines SAS Viya, retrieval-augmented generation, and rigorous validation to turn AI from a fluent storyteller into a proven, auditable decision engine. With striking real-world results-massive error reduction, cost savings, and near-perfect accuracy-it's a compelling look at how enterprise AI must evolve from sounding right… to being right | source youtube |
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| 54 | From Prototype to Production: Deploying Scalable and Secure AI Agents with AWS and SAS | Doug Mbaya, Dilip Rajan |
Presentation: Scalability, security, and data integration are key to deploying Agentic AI in production. In this session, see how AWS and SAS combine strengths to bring structured and unstructured data into agent workflows, with built-in governance and authentication. Explore how SAS's Retrieval Agent Manager and AWS services support real-time execution, performance monitoring, and deployment of agents that meet enterprise security and compliance needs - all while accelerating cloud-native innovation | source youtube |
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| 55 | From Red Tape to Real Results: SAS Super Demo on Global AI Governance | Tiffany Hodge, Max Samadov |
Video recording: AI governance is shifting rapidly from concept to compliance. In North America, OSFI's E-23 and new state-level AI laws (Colorado, New York, Texas) are already reshaping model governance, while the EU AI Act and other global initiatives set international expectations. This super demo connects the dots-first summarizing the evolving regulatory landscape, then showing how SAS Viya solutions operationalize compliance, focusing on inventory, lifecycle governance, bias/explainability, and workflows. Based on content delivered at AI+Finance NYC in 2025, this demo combines regulatory insight with a concrete path to compliance. Meet the battle between "Professor Red Tape" and "Captain Governance" as this session challenges the idea that more approvals equal better governance-especially in the age of AI and LLMs. It teases a smarter approach where visibility, risk awareness, and streamlined workflows replace bottlenecks and complexity. You'll get a glimpse of how modern governance can actually accelerate innovation while managing risks like bias and hallucinations. Watch the full video to see how to transform governance from a roadblock into a competitive advantage | source youtube |
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| 56 | From Sales to Sustainability: How Loblaw's and CapNexus Forecasted Packaging Carbon Footprint | Gina Cox | Presentation: Retailers face growing pressure to balance business growth with environmental responsibility. In this 45-minute deep dive, hear how Loblaw and CapNexus transformed a hackathon concept into a practical framework for sustainability-driven analytics | source youtube |
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| 57 | From Vibes to Value: Decisioning with SAS Viya on Vibration Data | Andrew Brody, Tom Anderson |
Presentation: Turning raw sensor data into actionable decisions is a major challenge in industrial asset management. This session walks through how vibration data from wind turbines can be transformed into reliable health indicators and remaining useful life (RUL) predictions using SAS Viya. By combining rigorous data quality checks, signal processing, and statistical modeling, the approach reduces false positives and enables more confident maintenance decisions. The result is an operational workflow that scales across turbines and sites while improving asset reliability and reducing unplanned downtime. Presenters: Andrew Brody and Tom Anderson, SAS | source youtube |
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| 58 | From Voice to Resolution: Orchestrating AI for Smarter Contact Centers | Lucas Palin, Weyner Aguilera |
Presentation: AI is redefining the contact center - not with a single model, but with intelligent orchestration. This session shows how companies are using SAS Intelligent Decisioning and Retrieval Agent Manager (RAM) to route conversations across multiple specialized LLMs. Real-world examples include billing inquiries resolved in under 2 minutes and technical issues diagnosed instantly with contextual prompts. Learn how Agentic AI routes each customer to the right agent or response, based on sentiment, history, and risk. This is a working, scalable system - already transforming millions of customer interactions into measurable ROI | source youtube |
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| 59 | Governed GenAI for RWD to OMOP: MCP Enabled Mapping and Code Generation for ETL | Pankaj Attri | Presentation: Model Context Protocol (MCP) provides a secure, governed way to connect enterprise analytics with enterprise AI assistants. This session shows how MCP extends SAS Viya by enabling AI agents to work safely within regulated environments. Using a prototype MCP Server built with SASPy, see how an AI assistant can explore study metadata, analyze domains, generate and execute SAS code, and organize results directly in Viya-while preserving auditability, traceability, and oversight. This approach connects automation and compliance across clinical programming, real-world evidence, and advanced analytics, helping organizations accelerate insight generation without compromising integrity or transparency | source youtube |
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| 60 | Governing the Synthetic Data Revolution: From Privacy to Trustworthy AI | Vrushali Sawant | Presentation: Synthetic data is transforming how organizations scale AI while navigating strict privacy and regulatory constraints. This session explores how to govern synthetic data responsibly-addressing risks like bias, re-identification, and model performance gaps while still unlocking innovation. Through practical examples using SAS Data Maker and SAS Viya, you'll see how to build a governed pipeline that integrates privacy controls, bias detection, lineage tracking, and model validation. The session provides a hands-on framework for turning synthetic data from a compliance risk into a trusted foundation for AI | source youtube |
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| 61 | Health Care Use Case Bonus Round | Heather Hallett | Video recording: It's your turn to decide! During the Solutions Connect, the audience will have the opportunity to vote on an additional health care use case that we'll present in the Innovation Hub. What if prior authorization in healthcare could move from a manual bottleneck to an intelligent, streamlined process? In this session, SAS showcases how AI-powered document analysis and decisioning can extract clinical evidence from complex medical records and align it directly with policy criteria in seconds. See how automated workflows, retrieval-augmented agents, and intuitive dashboards help reviewers quickly validate decisions-without combing through hundreds of pages. If you're looking to reduce costs, improve accuracy, and accelerate care approvals, this is a compelling look at AI in action | source youtube |
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| 62 | Health Care Use Case: Streamlining Prior Authorization with AI-Driven Automation | Heather Hallett | Video recording: Prior authorization is one of the most expensive and frustrating processes for health plans, and it's increasingly at the center of an AI arms race between payers and providers. This session shows how SAS uses document analysis, intelligent decisioning, and retrieval-augmented AI to automatically extract clinical evidence, match it to the correct medical policy, and determine if a request truly meets approval criteria. You'll see how millions of pages of unstructured medical records can be processed overnight, with clear explanations and bookmarked evidence surfaced for clinical reviewers. Watch how payers reduce friction, lower costs, and move faster while keeping a human in the loop | source youtube |
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| 63 | Hidden in Plain Sight: How Traffickers Exploit the Financial System via Transactional Data | Freddy Massimi | Presentation: Human trafficking doesn't happen outside the financial system, it operates directly within it, disguised as everyday transactions. This powerful session reveals how traffickers rely on patterns of behavior, movement, and layering of transactions that often evade traditional fraud and AML detection. Through real-world examples, viewers see how combining analytics, human intuition, and cross-team collaboration can uncover hidden networks and save lives. It's a sobering reminder that the signals already exist in your data, but recognizing them requires a shift in how we detect risk | source youtube |
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| 64 | How Agentic AI is Redefining the Insurance Industry | Rocco Cannizzaro | Video recording: This demo reveals how agentic AI is redefining how insurers automate decisions, manage risk, and scale impact. What if building, testing, and deploying insurance pricing models could be as simple as having a conversation? In this fast-paced demo, SAS showcases how Agentic AI and a CoPilot are transforming actuarial workflows-letting teams create, modify, and launch pricing models in minutes using natural language. Watch as complex processes like product configuration, testing, and deployment are unified into a single seamless flow, eliminating friction between teams and cutting time to market dramatically. If you're curious how AI is accelerating decision-making in insurance while keeping governance intact, this is a glimpse of the future | source youtube |
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| 65 | How Banks Use AI to Stop Fraud and Protect Trust at Scale | Stu Bradley, Udo Sglavo, Kate Parker, Dinesh Jayaraman |
Video recording: Banks operate in moments of trust, where every transaction, approval, and interaction can shape a customer's confidence. In this session, leaders from SAS and Discover explain how unified fraud decisioning simplifies operations, improves consistency, and protects customers at massive scale. The conversation then shifts to experience, showing how Agentic AI supports marketers by turning briefs into governed, customer-centric journeys while keeping humans firmly in control. Together, these perspectives show how decisions, from fraud prevention to marketing engagement, come together as one connected banking experience | source youtube |
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| 66 | How Consumer Portfolio Services Transformed Decision-Making with SAS Viya | Shady Shafik | Video recording: Legacy decision systems can limit agility, making it difficult for organizations to adapt quickly to changing business conditions and integrate advanced analytics into production workflows. In this session, Consumer Portfolio Services shares how migrating to SAS Viya enabled a complete transformation of their decisioning environment-moving from manual, code-heavy processes to a flexible, real-time decision engine. The new platform supports rapid rule updates, seamless integration of machine learning models, and full auditability across decisions, dramatically improving speed and reliability. This modernization lays the foundation for AI-driven capabilities such as adaptive strategies, real-time risk scoring, and simulation-based decision optimization. Presenter: Shady Shafik, Consumer Portfolio Services | source youtube |
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| 67 | How Liverpool FC Uses AI to Deepen Fan Connection Worldwide | Chris Jennions | Video recording: What happens when one of the world's most passionate fan bases meets AI-driven marketing at scale? In this on-stage conversation, SAS announces a landmark partnership with Liverpool Football Club, naming SAS Customer Intelligence 360 as LFC's official AI marketing automation partner. Chris Jennions shares why SAS stood out as a true innovation partner and how smarter, more personalized engagement will help the club connect with hundreds of millions of fans worldwide. Together, SAS and LFC are redefining how global brands build deeper relationships, one fan at a time | source youtube |
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| 68 | How SAS Intelligent Decisioning Powers the AI-Driven Enterprise | Diana Maris | Presentation: Many organizations struggle to move AI from experimentation into production, often due to fragmented systems, lack of governance, and integration complexity. This session explains how SAS Intelligent Decisioning provides a unified, governed framework to operationalize AI-combining data, models, and business rules into executable decision flows. These flows can be deployed at scale across real-time, batch, and API-driven environments while maintaining traceability and compliance. It also highlights how decisioning integrates with copilots and agent ecosystems, enabling trusted, automated actions-not just model outputs. Presenter: Diana Maris, SAS | source youtube |
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| 69 | How Scotiabank Accelerates Innovative Business Solutions through Academic Partnership | Warren Ritchie, David Cruickshank, Bryan Mehi |
Presentation: As demand for AI-driven innovation grows, many organizations struggle to scale expertise and deliver results fast enough to meet business needs. Academic institutions also face pressure to modernize learning and prepare students for real-world impact. In this session, Scotiabank, Ivey Business School, and SAS share how they built the SAS Viya Innovation Lab-a repeatable partnership that embeds students and faculty into live business challenges. Instead of treating academia solely as a talent pipeline, this model accelerates solution development while building future-ready skills. Attendees will explore Scotiabank use cases and leave with a practical framework for creating academic partnerships that deliver business value today. What happens when you bring real business challenges, real data, and real technology into the classroom-and don't simplify any of it? This session follows a unique collaboration between SAS, Scotiabank, and Ivey Business School that transforms traditional learning into hands-on, high-stakes innovation. Students tackle messy, real-world problems using AI and analytics, producing ideas that can actually move toward production while building skills employers desperately need. If you're curious how education, industry, and emerging tech can come together to create meaningful impact-and future-ready talent-this is a story you'll want to watch | source youtube |
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| 70 | Human-In-The-Loop with SAS Intelligent Decisioning Flows | Joshua Beck, Diana Maris, David Weik |
Presentation: Scaling AI agents in regulated environments requires balancing automation with strict requirements for auditability, consistency, and human oversight. In this session, SAS speakers Joshua, Diana, and David introduce a "Human Approval Loop (HAL)" framework that uses similarity search and decision orchestration to intelligently route only high-risk or novel requests to human review. You'll see how SAS Intelligent Decisioning enables this approach by combining rules, models, and LLM-driven agents into a governed workflow that learns from prior decisions over time. The result is a more scalable, explainable, and consistent human-in-the-loop system for enterprise AI | source youtube |
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| 71 | Inbox to Insight: LLM-Powered Email Triage on SAS Viya | Ann Kuo | Presentation: SAS Tech Support handles a relentless stream of emails-customer issues, misroutes, and spam-making manual triage slow and inconsistent. See how we built a transformer-based text analytics pipeline on SAS Viya that automates classification with minimal data preparation, all while preserving privacy. We'll walk through the end-to-end modeling workflow, including training, evaluation, and deployment of BERT-based models that achieved ~3% misclassification on hold-out data and uncovered labeling inconsistencies in human-tagged content. This modeling approach also provides a foundation for future integration into SAS's broader agentic AI framework for automated CSM ticket triage. A flood of emails hits support teams every day-but before solving problems, someone has to figure out what each message actually is. In this session, Ann Kuo shows how SAS turned that bottleneck into an AI-driven advantage with a streamlined, LLM-powered classification pipeline on Viya. You'll see how transformer models quickly separate real customer issues from spam and misrouted requests, delivering faster routing with impressive accuracy and minimal preprocessing. More than just a modeling exercise, it's a practical look at how AI can plug directly into a decisioning workflow to reduce delays and get customers the help they need sooner | source youtube |
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| 72 | Inspiring Meaningful Connections With Nature Through Personalized Donor Engagement with WWF | Lucas Kelly, Nick Minnich |
Presentation: Discover how the World Wildlife Fund is using digital innovation to deepen donor engagement and advance conservation. Learn how WWF built a champion-challenger recommendation system powered by SAS Customer Intelligence 360 and the latest recommender algorithms released in SAS Viya to connect supporters with species aligned to their interests. This data-driven approach helps donors discover lesser-known species, fostering emotional connections that inspire ongoing support. The session will also explore how WWF plans to expand personalization across email and SMS to deliver a unified, multi-channel donor experience | source youtube |
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| 73 | Intelligent Journeys: How The Nature Conservancy Uses SAS' CI360 on AWS to Transform Engagement | John Blackwell, Karen Blaszkiewicz, Dilip Rajan, Mac Carlton |
Presentation: The Nature Conservancy is modernizing how it engages constituents by moving from disconnected interactions to intelligent, AI driven journeys. In this session, AWS and TNC share how SAS Customer Intelligence 360 running on AWS enables predictive insight, real time decisioning, and orchestrated journeys across direct mail, email, digital, and mobile channels. You'll hear how TNC is applying GenAI powered by Amazon Bedrock, to accelerate journey creation, predict high value engagement, and scale personalization responsibly. The discussion will focus on what it takes to operationalize AI in real-world environments, balancing innovation with trust, governance, and mission impact. This executive-level conversation highlights how cloud native customer intelligence and GenAI are reshaping engagement strategies for purpose driven organizations. What does it really take to turn data, cloud, and AI into meaningful impact-not just more noise? This panel explores how The Nature Conservancy uses SAS CI360 and AWS to unify analytics, personalize donor journeys, and scale outreach while keeping trust and governance front and center. From surprising insights that reshaped marketing spend to real-time engagement and emerging generative AI use cases, the story shows how small, well-executed improvements can compound into massive growth. If you're curious how AI, cloud, and analytics actually deliver results in a mission-driven organization, this is a conversation worth watching | source youtube |
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| 74 | Introducing PROC R | Jim Box | Presentation: PROC R is a new procedure in SASA Viya that allows programmers to easily incorporate R methods in a SAS process so that you can create graphics, utilize packages, and move data easily between SAS and R. PROC R combined with PROC PYTHON and PROC GATEWAY allows programmers to switch between coding languages to solve any analytics problem |
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| 75 | Introducing SAS Packages: A Modern Code Sharing Medium for SAS | Bartosz Jabłoński | Presentation: Sharing well-tested SAS code shouldn't be complicated. The SAS Packages Framework makes it simple to bundle macros, formats, functions, and other components into a single, portable package that can be deployed with just one command-%loadPackage(MyPackage). This approach eliminates the headaches of managing directories, file structures, and deployment across different environments. Beyond convenience, SAS Packages have become a global best practice: companies around the world are creating their own packages and sharing them to accelerate development and foster collaboration across the industry. Join this session to learn how SAS Packages streamline code distribution and unlock the power of reusable, community-driven solutions | source youtube |
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| 76 | Introducing the SAS Viya Code Assistant Agent: Automate, Refactor, Explain | Sean Mealin | Presentation: Writing and debugging SAS code doesn't need to slow innovation. The SAS Viya Code Assistant Agent uses automation and intelligent prompting to accelerate SAS programming tasks. From syntax suggestions and validation to error tracing, code refactoring, and doc generation, this agent helps developers maximize the value of their data assets while minimizing time and mistakes. Learn how businesses can leverage this agent to reduce operational overhead and improve developer experience across evolving digital workloads. What if you could skip the code-and still get powerful analytics done in minutes? This session introduces SAS's Agentic Copilot, showing how natural language prompts can turn complex data questions into automated workflows, complete with analysis, code generation, and results. You'll see how it explores data, fixes its own mistakes, and delivers insights you can trust-all while keeping security front and center. If you're curious about the future of analytics where outcomes matter more than syntax, this is a demo you won't want to miss | source youtube |
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| 77 | IoT Solution Connect | Joshua P. Becker, Bryan Saunders, Saurabh Mishra, David Froning |
Video recording: How do organizations move from IoT experiments to real business impact at scale? In this IoT Connect session, SAS leaders explore how AI and connected data are transforming industries like manufacturing, energy, transportation, and public infrastructure. Through real customer examples, streaming analytics demos, digital twins, and Agentic AI, the session shows how organizations reduce downtime, improve safety, optimize operations, and accelerate decisions in real time. It's a practical look at how AIoT moves from pilot projects to enterprise-wide value | source youtube |
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| 78 | Life Sciences Use Case Bonus Round | Sherrine Eid, Laura Watson, Gunce Walton |
Video recording: It's your turn to decide! During the Solutions Connect, the audience will have the opportunity to vote on an additional life sciences use case that we'll present in the Innovation Hub. What if your analytics could go beyond "there's a correlation" to confidently answering "this causes that-and by how much"? In this session, Shereen introduces causal inference in SAS Viya, showing how it transforms traditional statistical thinking into actionable, regulator-ready insights. Through real-world examples and workflows, she reveals how advanced methods, automation, and even AI-driven pipelines can turn messy data into clear, decision-ready evidence. If you're curious how analytics is evolving from observation to intervention-and what that means for healthcare, policy, and AI-this is a conversation worth diving into | source youtube |
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| 79 | Lighting the Future of AML with Agentic AI | Zsolt Burger, Stephanie Ora |
Presentation: In AML programs, the distance between a compliance officer's intuition and a deployed scenario and model is often measured in months of back-and-forth, manual coding, and governance bottlenecks. This weakens organizations' defenses to efficiently and effectively catch suspicious actors. What if you could responsibly develop and optimize your detection strategies at the speed of thought? In this session, join the award-winning Consortix-AURORA hackathon team for a superdemo of their innovative and trustworthy Agentic AI solution for AML, which is designed to seamlessly bridge the gap between domain experts and technical teams, execute detection strategies in a governed way and outpace criminals | source youtube |
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| 80 | Lock It Down: Simplifying TLS for SAS 9.4 Deployments | Melissa Zwirblia | Presentation: Learn how SAS 9.4M9 simplifies secure deployments with built-in Transport Layer Security (TLS) enablement for the middle-tier. This session covers the new SAS Deployment Wizard features that automate TLS configuration across internal components like the Web Server, Application Server, and JMS Broker. Attendees will gain practical insights into certificate requirements and best practices for securing communication within multi-tier SAS environments | source youtube |
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| 81 | Making Healthcare Data AI-Ready with SAS Health: Interoperability for Real-Time Insights | Robertson Williams | Presentation: Healthcare organizations face a major challenge in turning fragmented, multi-format data into something usable for analytics and AI. This session demonstrates how SAS Health creates an automated pipeline to ingest, normalize, and standardize data-from HL7 and claims formats to FHIR-so it can be used for real-time insights and modeling. You'll see how this unified data foundation enables downstream use cases like clinical risk modeling, cohort discovery, and operational analytics. The session also highlights how embedded AI and CoPilot capabilities simplify access to healthcare data, allowing users to generate insights faster without deep technical expertise | source youtube |
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| 82 | Migration of a SAS 9 Grid to SAS Workload Management on Viya | Cheryl Doninger | Presentation: Migrating from a SAS 9 Grid environment to SAS Viya introduces new ways to manage workload, scale resources, and modernize scheduling without losing core capabilities. This session explains how SAS Workload Orchestrator replaces traditional grid components, how batch, parallel, and scheduled jobs translate to Viya, and what changes in architecture and tooling to expect. You'll see how features like Kubernetes-based scaling, integrated workload management, and flexible scheduling options reshape how jobs are executed. The session also highlights practical migration steps, common pitfalls, and tools that help streamline the transition | source youtube |
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| 83 | Model Documentation: A Single Source of Truth for Your Risk Models | Sachin Mehra | Video recording: Model documentation is one of the biggest bottlenecks in risk modeling, with teams spending weeks assembling fragmented evidence across systems and stakeholders. In this session, Sachin introduces a new SAS Risk Modeling capability that centralizes documentation, automatically captures artifacts across the model lifecycle, and generates regulatory-ready reports in minutes. You'll see how a fully integrated, versioned system replaces manual processes, improving speed, consistency, and governance. The session also previews future enhancements like agent-assisted regulatory validation and documentation guidance | source youtube |
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| 84 | Models and Agents as the engine for industry ROI | Manisha Khanna, Jim Georges |
Presentation: Join us for a forward-looking session on the SAS Models roadmap, showing how SAS accelerates AI adoption through lightweight, packaged models and agents built for industry needs. These ready-made, containerized AI assets are easy to deploy, portable across environments, and designed to reduce complexity, risk, and time to value. Learn how SAS is expanding industry-focused models and investing in packaged agents that embed optimization and decision intelligence directly into workflows - delivering scalable, trusted, and enterprise-ready outcomes across life sciences, financial services, commercial, and public sector use cases. Presented by: SAS Session Type: Product Roadmap Session Level: Introductory What if your AI stack is less like a solid system-and more like a game of Jenga, one wrong move away from collapse? In this engaging session, SAS reveals why so many AI initiatives stall and how pre-built, governed models and agents can stop the constant rebuilding cycle. You'll get a sneak peek at a powerful roadmap, real-world examples like fraud detection and supply chain optimization, and a glimpse of "agentic AI" acting as a true coworker-not just a chatbot. If you want to see how enterprise AI can finally scale with speed, trust, and real impact, this is a session worth watching | source youtube |
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| 85 | Models of Progress | How Code, Culture and Collaboration Moved the World | SAS Institute (a company) | Video recording: From the dawn of modern computing to the explosive rise of artificial intelligence, this documentary traces how SAS helped transform raw data into real-world decisions - powering breakthroughs in healthcare, business and global security. Examining decades of innovation, this film reveals the untold story of a company working behind the scenes to solve some of the world's most complex challenges - quietly influencing industries and impacting millions of lives | source youtube |
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| 86 | Modern Approaches in the Manufacturing World - Integrating Python within the SAS Environment | Cory Boone | Presentation: This session explores how Georgia-Pacific integrates Python into SAS Viya to streamline onboarding and collaboration for data professionals unfamiliar with SAS. Learn how tools like SAS Flow, CAS, and SAS Studio help bridge programming gaps, improve workflow efficiency, and scale solutions across teams. Real-world examples will highlight strategies for modernizing analytics infrastructure and fostering cross-platform collaboration. What happens when you stop gatekeeping talent and rethink how teams use SAS? In this engaging talk, Corey Boone shares a real-world experiment in blending Python expertise with SAS platforms-revealing how teams can onboard faster, work smarter, and unlock hidden potential. Through candid stories and hands-on examples, you'll see how modern tools and thoughtful workflows break down barriers and accelerate time to value. If you're curious how data science teams can evolve in the age of AI and hybrid skills, this is a compelling watch you won't want to miss | source youtube |
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| 87 | Modernising Clinical Data Flow: Moving into SAS Viya and Data Lakehouse | Vicky Poulsen | Presentation: Clinical data in pharmaceutical research has grown dramatically in volume, complexity, and regulatory requirements, making traditional processing approaches increasingly difficult to scale. This session explores how Novo Nordisk is modernizing its end-to-end clinical data flow by moving from legacy SAS environments to a cloud-based architecture combining SAS Viya and a data lakehouse (Databricks). By adopting a metadata-driven framework, automating workflows, and separating compute from storage, the team has reduced processing times while maintaining strict compliance and data quality standards. The transformation enables faster availability of submission-ready data and positions the organization for future innovation, including AI-assisted workflows | source youtube |
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| 88 | Modernizing Analytics: Moving from SAS 9.4 to Viya with SAS Managed Cloud Services | Andrew Barber | Presentation: Many organisations running SAS 9.4 face a critical challenge: modernising analytics without disrupting business. Traditional hardware deployments require specialised skills and long maintenance windows, while cloud-native technologies like Kubernetes demand expertise many teams lack. SAS Managed Cloud Services (MCS) bridges that gap by combining SAS Viya's modern architecture with SAS's operational excellence. MCS enables customers to move from on-prem environments to a fully managed, cloud-native platform-securely and with minimal disruption. This session explores how SAS MCS simplifies the journey to Viya using tools like Enterprise Session Monitor and migration accelerators, and why managed services are often the most efficient path forward. Hear how a customer successfully migrated and gained performance, predictability & more time for innovation | source youtube |
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| 89 | Move your SAS 9 Programs to SAS Viya Workbench with Ease | Mary Jafri | Presentation: Do you have SAS program suites running on SAS 9? Do you want to move them to SAS Viya without a heavy lift? Do you wish they had access to the latest procedures available in SAS Viya? SAS Viya Workbench may be your answer! | source youtube |
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| 90 | Moving from SAS9 to Viya in the Pharma World: Testing and Developing a New Batch Run Process | Jeffrey P. Meyers | Video recording: Regeneron is currently upgrading from a SAS Grid installation running SAS 9 to SAS Viya on the cloud. One of the greatest challenges has been to create a new process for batch running programs. In the pharmaceutical world programs must be batch ran from top to bottom and saved to an individual log. There are multiple deliveries that contain hundreds of outputs that must be run independently and produce separate logs files. The current process relied on using the X command with a Linux script file to submit programs (combined with a delivery specific autoexec) in parallel, but this process is not available within SAS Viya | source youtube |
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| 91 | Moving your SAS 9.4 Environment to the Cloud: Considerations and Best Practices | Margaret A. Crevar | Thinking about taking your SAS 9.4 environment from on-premises to the cloud? This session provides practical guidance for planning and executing a successful migration. Learn what to consider before you move, including infrastructure, security, and performance requirements. We'll cover best practices for optimizing workloads, minimizing downtime, and ensuring your cloud-hosted SAS environment delivers the speed and scalability you expect. Whether you're exploring public cloud options or hosted environments, you'll leave with actionable insights to make your transition smooth and cost-effective | source youtube |
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| 92 | Navigating the SAS Viya Modernization Journey in Life Sciences | Dinaker Juvvadi | Presentation: In the highly regulated Life Sciences landscape, the pressure to accelerate "Time to Market" while maintaining absolute GxP compliance has never been higher. Traditional, on-premise SAS 9.4 environments-while stable-often struggle with the scale of trial growth, access for different geographical regions, outsourcing, trial feeds, and the integration of open-source languages like Python and R. The SAS Viya implementation journey represents a shift from legacy silos to a cloud-native, high-performance analytics ecosystem with AI capabilities. Learn how you can plan your future state with SAS Viya in the cloud | source youtube |
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| 93 | Next-Level Analytics: Transitioning Your EG Projects into Studio Flows | Susan Lawhead | Presentation: Discover how to transition your SAS Enterprise Guide projects into SAS Studio Flows on SAS Viya. This session covers why migration matters, key differences, and step-by-step migration strategies-including assessing projects, importing individual projects, remediating warnings/errors, and handling unsupported features. Learn best practices for modernizing workflows, get introduced to new capabilities, and discover where to find resources for ongoing support. Get ready to take your analytical flows to the next level! | source youtube |
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| 94 | OOTB (Out of the Box) Data Visualizations with SAS: An Introduction to what the ODS Graphics Statement Can Do for You | Louise S. Hadden | Presentation: Western Users of SAS Software (WUSS) presentation at SAS Innovate Users Day 2026 | source youtube |
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| 95 | Operationalizing AI and Machine Learning with SAS Fraud Decisioning Professional Models | Gareth Snook | Presentation: This session shows how organizations can move from experimental AI to production-ready fraud prevention by embedding machine learning models directly into real-time decisioning workflows. It highlights the shift from traditional rule-based systems to a hybrid model, where AI models generate probabilistic risk scores and business rules apply governance and final decisions. Using SAS Fraud Decisioning on Viya, organizations can integrate models, rules, and data into a single scalable platform that supports real-time decisions and regulatory compliance. The result is faster, more accurate fraud detection with improved customer experience and operational efficiency | source youtube |
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| 96 | Optimizing SAS Viya for Peak End User Performance | Eric Bourn, Yiqing Wang, Eswar Boyapat |
Presentation: Ensuring a robust and seamless user experience is vital when tackling complex challenges in today's cloud-native environments. Like any enterprise application, SAS Viya requires continuous monitoring and tuning to perform optimally and meet user demands. Understanding which areas to focus on and how to validate changes is critical for a successful deployment. This session covers key strategies for maintaining peak Viya performance and introduces automation tools that simplify testing and monitoring, enhance reliability, and accelerate validation cycles. Attendees will learn practical approaches for implementation, performance optimization, and enterprise-scale integration. What does it really take to run SAS Viya at enterprise scale-and keep it running smoothly? In this session, hear how Liberty Mutual tackled real-world performance issues after migrating to Viya, from slow logins and pod failures to scaling for thousands of daily jobs. The speakers walk through the "optimization lifecycle" of monitoring, tuning, and validating-showing how continuous iteration, smarter resource allocation, and high availability turned instability into reliability. And with a live demo of automated performance testing at scale, you'll see how they cut validation time, boost user trust, and confidently deliver monthly updates in a high-demand environment | source youtube |
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| 97 | Our LSAF Implementation Journey: Challenges, Solutions, and Key Benefits | Fengying Miao, Lin Zheng |
Presentation: This session presents a detailed, real-world case study of implementing the SAS Life Science Analytics Framework (LSAF) at Incyte, covering everything from system design and validation to migration and user adoption. It highlights key challenges such as transitioning to new workflows, debugging complexities, and managing change in a regulated environment. The Incyte team shares how they addressed these issues through automation, targeted training, and strong governance practices. The end result was a more collaborative, traceable, and compliant clinical analytics environment that supports scalable growth and regulatory readiness | source youtube |
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| 98 | Personalization at Retail Scale: The Operating Model Behind Millions of Customer Decisions | David Benabib | Video recording: Scaling personalization in retail requires more than advanced technology-it depends on building the right operating model across teams, processes, and measurement. In this session, Coppel shares how it delivers personalized experiences to millions of customers by shifting from product-centric campaigns to customer-centric decisioning, supported by cross-functional teams and continuous use-case execution. By focusing on measurable incrementality and customer lifetime value, the organization has proven the profitability of personalization at scale. The approach highlights how aligning data, creativity, analytics, and governance enables sustained personalization impact across channels and customer journeys. Presenter: David Benabib, Coppel | source youtube |
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| 99 | Power AI Agents with SAS AI and Real-Time Analytics via Model Context Protocol (MCP) | Rik de Ruiter | Presentation: This session shows how organizations can power AI agents with real-time data and analytics using the Model Context Protocol (MCP) in SAS Event Stream Processing. MCP enables large language models to interact with external tools-like streaming analytics, databases, and business systems-so agents can move beyond static responses to real actions. The demo highlights a predictive maintenance use case where an operator can query live data, run what-if scenarios, and even trigger workflows (like creating service tickets) through natural language. By combining governed real-time analytics with agent-driven interfaces, organizations can unlock more actionable, context-aware AI experiences | source youtube |
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| 100 | Practical Insights on Analytic Modernization | Luis Osorio, Whitney Tillman |
Presentation: Public health organizations face growing challenges in managing fragmented, multi-source data that must be integrated quickly to support real-time decision-making. This session highlights how agencies are modernizing analytics by unifying disparate data streams and building scalable workflows using SAS Viya. By automating data ingestion, standardization, and case management processes, teams have improved efficiency, data quality, and response times for critical public health activities. The result is a more connected, flexible foundation that enables faster insights, better collaboration, and prepares organizations for advanced analytics and future AI capabilities | source youtube |
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| 101 | Predict, Prevent, Perform: How Data and AI Are Solving Healthcare's Toughest Challenges | Victoria Gregorgio, DJ Penix |
Presentation: Healthcare organizations are under pressure to improve access to care while managing operational and financial constraints. This session highlights how data and AI can be used to tackle real-world challenges like patient no-shows by predicting risk and enabling targeted interventions. By combining internal clinical data with external factors such as demographics and transportation, the solution creates personalized strategies that improve outcomes and optimize scheduling. The result is a continuous, feedback-driven system that helps providers reduce missed appointments, improve efficiency, and deliver better patient experiences | source youtube |
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| 102 | Privacy-Safe Synthetic Emails with SAS Viya and LLMs | Jerry Xiao | Presentation: Organizations rely on email and messaging data to power analytics and AI initiatives, but using real communications introduces significant privacy and PII-exposure risks. This session presents a solution for generating synthetic communications data on SAS Viya. With SAS Visual Text Analytics, SAS Viya Workbench, SAS Data Maker, and LLMs, we demonstrate a multi-modal process to create realistic, privacy-preserving email datasets. See how these capabilities work together to blend structure, linguistic patterns, and domain context to produce high-fidelity synthetic emails for training, testing, and responsible AI development. We conclude with a practical technical demo showing how to integrate these outputs into downstream workflows. See how SAS is bringing the best of its analytics experience into Python with automatic statistical graphics and customizable results - no extra plotting code required. In this live demo, Jerry Xiao shows how Python users can generate SAS-style tables and visualizations, then tailor, reorder, theme, and export them for notebooks, reports, or the web without rerunning the analysis. It's a practical look at how reporting workflows become faster, cleaner, and far more flexible for analysts working across environments. If you use Python for analytics and want polished output with less effort, this session is definitely worth a watch | source youtube |
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| 103 | Product Roadmap: Announcing the New SAS AI Navigator and What's Next | Kristi Boyd, Allie DeLonay |
Video recording: SAS AI Navigator makes its official debut at SAS Innovate, giving leaders a unified, easy-to-use view of where and how AI is used across their organization. This session highlights the product's launch capabilities-centralized AI visibility, lightweight governance, policy-aligned documentation, and oversight for models, agents, and use cases. You'll also get a preview of upcoming enhancements and roadmap priorities. Join us to see how SAS AI Navigator reduces shadow AI with control and oversight and accelerates responsible, enterprise-ready AI adoption | source youtube |
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| 104 | Product Roadmap: SAS Agentic AI | Brett Wujek, Diana Maris |
Presentation: Agentic AI represents the next evolution beyond generative AI-moving from producing outputs to taking meaningful action across workflows. This session outlines SAS's roadmap for enabling agent-based systems within Viya, including grounding models with enterprise data, building governed agents, and connecting them to analytics tools across the lifecycle. The roadmap highlights key components such as Retrieval Agent Manager (RAG pipelines), model context protocol (MCP) for tool access, and Copilot-driven experiences that can take action-not just answer questions. Together, these capabilities aim to deliver trusted, enterprise-ready agents that balance autonomy with governance, scalability, and integration into existing systems | source youtube |
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| 105 | Product Roadmap: SAS Artificial Intelligence Model Development Innovations and Roadmap | Jonathan Wexler | Presentation: Discover how SAS Viya is shaping the future of artificial intelligence and composite AI by unifying machine learning, forecasting, text analytics, and causal AI within a modern, cloud-native platform. This session offers a forward-looking view of emerging SAS capabilities designed to further accelerate and simplify data scientists' work, with agentic AI right around the corner. We will explore how SAS artificial intelligence supports and extends generative AI as it evolves within Viya to enhance code assistance, enable faster experimentation, and provide more intuitive natural-language interaction with analytical workflows. Attendees will gain insight into the direction of SAS AI innovation and how these advancements will help teams scale high-impact analytics across the enterprise | source youtube |
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| 106 | Product Roadmap: SAS Data Maker Vision-A Foundational Building Block of AI Solution Development | Sundaresh Sankaran | Presentation: As organizations push to scale AI, access to high-quality, usable data remains a major barrier. This session explores how SAS Data Maker enables synthetic data generation to address challenges like limited access, privacy constraints, and data insufficiency-while preserving data characteristics for analytics use. You'll see how the product fits into the broader analytics lifecycle, supporting use cases such as model development, validation, and scenario testing. The roadmap also highlights future directions, including tighter lifecycle integration, governance enhancements, and new capabilities for controlled, flexible synthetic data generation | source youtube |
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| 107 | Product Roadmap: SAS Viya Copilot | Susan Haller | Presentation: Join us for a product roadmap discussion on SAS Viya Copilot, covering recent advancements, upcoming features, and the longer-term strategy as we evolve in a fast-moving, agentic AI landscape across the SAS Viya platform | source youtube |
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| 108 | Prompting the Future - How to get the critical-thinking employee of tomorrow | Sara Armandi | Presentation: What does it take to build an AI-ready workforce with the skills to think critically and adapt? This session shares how a traditional "SAS Programming" course was transformed into "Practical SAS and AI," giving students both coding foundations and the ability to learn about and prototype with GenAI. Students are trained in critical thinking and validation skills, ensuring they assess AI outputs rather than blindly trusting them. Join as an educator to explore modern teaching approaches, get inspired on how to integrate GenAI into your curriculum, and prepare your students for the rapidly evolving world of analytics; as a customer or employer to see what the future workforce (or your future colleague) will bring; or as a student to gain insight into the skills that matter most in real-world analytics. What happens when ChatGPT lands in the classroom-and students suddenly have all the answers at their fingertips? In this thought-provoking session, Sara Amandi shares how AI transformed a traditional SAS programming course, revealing both the power and the dangers of "chainsaw-like" tools that can cut through problems-or critical thinking. You'll see how she rebuilt her course to focus on process over answers, teaching students to question, validate, and collaborate with AI rather than blindly trust it. If you care about the future of education-and the difference between autopilot and true expertise-this talk delivers a compelling wake-up call | source youtube |
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| 109 | Pure CPU Power: SAS Retrieval Agent Manager on Intel Xeon 6 | Imran Sheik Mohamed, Sundaresh Sankaran |
Presentation: Enterprises often assume that scaling AI requires expensive GPU-heavy infrastructure, but this session challenges that assumption. It demonstrates how SAS Viya combined with Intel Xeon 6 processors can deliver efficient, cost-effective AI performance using CPU-based architectures. By leveraging SAS Retrieval Agent Manager (RAM), organizations can build context-aware AI agents that process both structured and unstructured data while maintaining trust, traceability, and actionability. The result is a scalable, "sovereign AI" approach that reduces costs while still enabling advanced agentic workflows and enterprise decisioning | source youtube |
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| 110 | Putting Intelligent Decisions into Action with SAS Visual Analytics | Renato Luppi | Presentation: SAS Visual Analytics, running on the SAS Viya platform, becomes even more powerful when combined with SAS Intelligent Decisioning. Together, they enable organizations to automate and optimize business decisions by bringing data, advanced analytics, and business rules into a governed, publishable decision framework that can be executed across operational environments. In this session, you'll see how these decisions can be embedded directly into SAS Visual Analytics dashboards and reports, allowing business users to evaluate and act on decision logic in real time. Discover how SAS Visual Analytics can move beyond insight to action, delivering consistent, streamlined decision-making seamlessly with the interactive analytics experience. Discover how SAS bridges the gap between insight and action by connecting Visual Analytics directly to Intelligent Decisioning. In this session, you'll see how decision flows-powered by data, models, and business rules-can be deployed and executed in real time through APIs. The demo reveals a powerful but often overlooked feature, data-driven content, which lets you embed custom logic and external integrations right inside dashboards. If you want to turn interactive reports into engines for real-time decisions, this walkthrough shows exactly how it comes together | source youtube |
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| 111 | Python Your Way: 6 Ways to Run Python in SAS Viya | Stu Sztukowski | Presentation: There's more than one way to run Python in SAS Viya. In fact, there are at least six! In this rapid-fire session, you'll learn about the multitude of options available to integrate Python into your SAS Viya workflows. You'll even discover how you can combine Python, SAS, and SQL all together in a single notebook. Stu will walk you through six ways to run Python in SAS Viya | source youtube |
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| 112 | Real-Time Decisioning, Rapid Request Resolution & Hyper-Personalization at National Bank of Greece | Stavros Stavrinoudakis, Manolis Syllignakis |
Presentation: How do you turn AI from experimentation into real customer impact at scale? In this session, leaders from Performance Technologies and the National Bank of Greece share how they built a production-ready AI ecosystem using SAS Viya to transform customer experience across service, feedback, and marketing. You'll see how streaming data, intelligent decisioning, generative AI, and Agentic AI work together to automate customer requests, turn feedback into action, and deliver hyper-personalized offers in real time. This is a practical look at how banks operationalize AI with governance, speed, and measurable business value | source youtube |
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| 113 | REDCap: Playing Around the API Playground | Brooke Ellen Delgoffe | Presentation: Midwest SAS User Group (MWSUG) presentation at SAS Innovate Users Day 2026 | source youtube |
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| 114 | Registering & Executing LLMs in SAS Model Manager | Alex Malich | Presentation: SAS Model Manager is a leading solution for Machine Learning Operations (MLOps), but it can also be used for Large Language Model Operations (LLMOps) as well. This demo will walk through registering an LLM deployed in Azure Open AI into the unified model repository and creating a model card. We will also look at testing and other scoring mechanisms to execute the LLM and show how to create an evaluation framework. Attendees to this session will learn how to extend and leverage capabilities within SAS Model Manager for better governed and managed LLMs | source youtube |
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| 115 | Reintroducing the SAS Developer Portal: One Stop For All Devs | Joe Furbee | Presentation: SAS recently relaunched its developer portal (developer.sas.com), presenting SAS Viya API documentation. We scoured SAS digital resources and have identified almost 400 developer- and API-related use cases. If you're an open source developer, we've got assets to help get you started and interface with SAS Viya. SAS programmers, you're covered as well. Further, we provide a section for SAS solutions and related technologies and a page for SDKs. Finally, we have links to the Developers Community and the sassoftware resources on GitHub. It's truly one-stop shopping. Learn how SAS implemented best practices for a good developer portal and see a demo on using SAS Viya APIs to build an end-to-end use case | source youtube |
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| 116 | Reinventing Fraud Rules with Generative AI and SAS Viya Copilot | Gareth Snook | Presentation: Leave behind the traditional, highly technical, highly intensive, approach of writing complex Fraud Rules in Enterprise Fraud Management Solutions by using SAS Viya CoPilot to generate SAS Code. SAS Code generated using LLM with a deep understanding of the data available, of the stored profiles available and of the functions and macros available. No-Code CoPilot will guide you with intelligent insights into your data, proactive suggestions of how to better tune the code or parameters for even higher fraud prevention rates and lower customer friction. Fraudsters use of AI is growing at a vast scale, with SAS lets fight AI with Trusted AI. Quantum computing is no longer just a futuristic concept-it's rapidly becoming a strategic advantage, and SAS is inviting you to explore it firsthand. In this session, Amy Stout and Josh Griffin unveil the upcoming SAS Quantum Lab, showing how it could transform complex, high-stakes problems-from supply chains to drug discovery-into smarter, more precise decisions. But the real intrigue lies in how SAS is lowering the barriers: built-in AI tutoring, side-by-side comparisons of classical and quantum approaches, and breakthrough performance gains that make experimentation faster and dramatically cheaper. You'll even get a glimpse of a guided, hands-on demo where quantum goes from abstract theory to practical analytics-without requiring deep expertise. If you're curious how quantum could fit into your existing AI workflows-and whether it can deliver real ROI-this is a preview you won't want to miss | source youtube |
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| 117 | Reverse Stress Testing with Agentic AI: Anticipating Risk Before It Strikes | Siva Chennuru | Video recording: Reverse stress testing is essential to evaluate how systems might fail under extreme conditions - especially in financial services. In this session, learn how Agentic AI can automate complex calculations, simulate edge-case scenarios, and proactively surface vulnerabilities before they turn into failures. Discover how SAS Viya enables enterprises to embed explainability and trust into stress testing pipelines, uncovering actionable insights faster - even with limited or incomplete data. What if you could predict exactly where your portfolio will break-before it ever does? In this session, discover how Agentic AI transforms reverse stress testing by identifying failure points, simulating extreme scenarios, and uncovering hidden risk factors with just a few prompts. Watch as AI agents automatically generate shocks, create new scenarios, and run complex portfolio analyses inside the SAS risk platform-turning hours of manual work into minutes. If you're looking to move from reactive risk management to proactive, AI-driven insight, this demo shows how to stay one step ahead of failure | source youtube |
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| 118 | Rising Stars in Data and AI: A Showcase of Student Projects (Benchmark) | Piotr Pach, Holger Danielsen |
Video recording: "Benchmark" team Curiosity Cup presentation at SAS Innovate 2026 Student teams from the SAS Curiosity Cup showcase how they used data and AI to explore questions they care about across Business and Economy , Health, Science, and Engineering , and Culture, Lifestyle, and Entertainment . In this highly competitive year, 138 teams from 20 countries participated, and this session features several of the highest-scoring projects and their real-world insights. You'll hear fast-paced mini-presentations ranging from inflation-driven household food tradeoffs and government bond auction signals to hospital length-of-stay forecasting, chronic disease hotspot mapping, and more-each showing how students combined curiosity with practical analysis using SAS academic software | source youtube |
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| 119 | Rising Stars in Data and AI: A Showcase of Student Projects (Curious Cats) | Lexi Straub, D.P. Kasundie Manulya, Yaju Tsai, Tina Zhao |
Video recording: "Curious Cats" team Curiosity Cup presentation at SAS Innovate 2026 Student teams from the SAS Curiosity Cup showcase how they used data and AI to explore questions they care about across Business and Economy , Health, Science, and Engineering , and Culture, Lifestyle, and Entertainment . In this highly competitive year, 138 teams from 20 countries participated, and this session features several of the highest-scoring projects and their real-world insights. You'll hear fast-paced mini-presentations ranging from inflation-driven household food tradeoffs and government bond auction signals to hospital length-of-stay forecasting, chronic disease hotspot mapping, and more-each showing how students combined curiosity with practical analysis using SAS academic software | source youtube |
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| 120 | Rising Stars in Data and AI: A Showcase of Student Projects (Data Fusionists) | Muna Kandel, Siyapze Ngongo |
Video recording: "Data Fusionists" team Curiosity Cup presentation at SAS Innovate 2026 Student teams from the SAS Curiosity Cup showcase how they used data and AI to explore questions they care about across Business and Economy , Health, Science, and Engineering , and Culture, Lifestyle, and Entertainment . In this highly competitive year, 138 teams from 20 countries participated, and this session features several of the highest-scoring projects and their real-world insights. You'll hear fast-paced mini-presentations ranging from inflation-driven household food tradeoffs and government bond auction signals to hospital length-of-stay forecasting, chronic disease hotspot mapping, and more-each showing how students combined curiosity with practical analysis using SAS academic software | source youtube |
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| 121 | Rising Stars in Data and AI: A Showcase of Student Projects (Frontline Forecast) | Kate Dau, Aarya Acharya, Sakeet Kopparapu, Sulav Regmi |
Video recording: "Frontline Forecast" team Curiosity Cup presentation at SAS Innovate 2026 Student teams from the SAS Curiosity Cup showcase how they used data and AI to explore questions they care about across Business and Economy , Health, Science, and Engineering , and Culture, Lifestyle, and Entertainment . In this highly competitive year, 138 teams from 20 countries participated, and this session features several of the highest-scoring projects and their real-world insights. You'll hear fast-paced mini-presentations ranging from inflation-driven household food tradeoffs and government bond auction signals to hospital length-of-stay forecasting, chronic disease hotspot mapping, and more-each showing how students combined curiosity with practical analysis using SAS academic software | source youtube |
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| 122 | Rising Stars in Data and AI: A Showcase of Student Projects (ORSOL Forecasting) | Efua Asamani-Baah, Sebastian Bohrt, Nakul Sreekanth, Shaantanu Sriram |
Video recording: "ORSOL Forecasting" team Curiosity Cup presentation at SAS Innovate 2026 Student teams from the SAS Curiosity Cup showcase how they used data and AI to explore questions they care about across Business and Economy , Health, Science, and Engineering , and Culture, Lifestyle, and Entertainment . In this highly competitive year, 138 teams from 20 countries participated, and this session features several of the highest-scoring projects and their real-world insights. You'll hear fast-paced mini-presentations ranging from inflation-driven household food tradeoffs and government bond auction signals to hospital length-of-stay forecasting, chronic disease hotspot mapping, and more-each showing how students combined curiosity with practical analysis using SAS academic software | source youtube |
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| 123 | Rising Stars in Data and AI: A Showcase of Student Projects (The Mavericks) | Raksa Ma, Tirus Wagacha, An Yu Yeh |
Video recording: "The Mavericks" team Curiosity Cup presentation at SAS Innovate 2026 Student teams from the SAS Curiosity Cup showcase how they used data and AI to explore questions they care about across Business and Economy , Health, Science, and Engineering , and Culture, Lifestyle, and Entertainment . In this highly competitive year, 138 teams from 20 countries participated, and this session features several of the highest-scoring projects and their real-world insights. You'll hear fast-paced mini-presentations ranging from inflation-driven household food tradeoffs and government bond auction signals to hospital length-of-stay forecasting, chronic disease hotspot mapping, and more-each showing how students combined curiosity with practical analysis using SAS academic software | source youtube |
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| 124 | SAS + Intel: Modernizing your AI Workloads for FSI without Breaking the Bank! | Ken Constantino, Diana Rothfuss |
Presentation: Financial services institutions are under pressure to modernize AI infrastructure while controlling costs, maintaining compliance, and delivering faster insights. This session outlines how SAS and Intel work together to optimize AI and analytics workloads across cloud, hybrid, and on-prem environments. The focus is on improving performance, reducing total cost of ownership, and enabling scalable, production-ready AI systems-without adding technical debt | source youtube |
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| 125 | SAS 9.4 M10: Continuing Support and Roadmap in the Era of Viya | Joe Hatcher | Presentation: SAS Viya represents the future of analytics innovation-but SAS 9.4 isn't going anywhere. In this session, discover how SAS is committed to supporting customers on their own timeline, ensuring a smooth transition without compromising reliability or trust. We'll share the roadmap for SAS 9.4 Maintenance 10, including key enhancements like automated TLS configuration and a unified Multi-Factor Authentication capability for SAS Servers and the Middle Tier, and support for PROC PYTHON. Learn how these updates reinforce SAS's dedication to security, stability, and customer confidence while paving the way for generations of SAS solutions |
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| 126 | SAS AI Navigator: Governing AI Code Assistants in Production | Allie DeLonay | Video recording: Development teams are using AI code assistants at scale-but without governance, you're flying blind. This live demo shows how AI Navigator brings structure to AI-powered development workflows using Claude as our example (though the approach works for any LLM). See the complete journey: adding Claude as an external asset, building a Claude Code Assistant use case, applying policies, completing assessments, and managing alerts. You'll watch real-time configuration and documentation that keeps AI accountable without slowing teams down. Perfect for DevOps, MLOps, and engineering managers. Leave knowing exactly how to govern AI coding tools in production | source youtube |
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| 127 | SAS Batch Runtime Container - Expanding Viya's flexibility beyond Kubernetes | Daniel Zuniga | Presentation: The SAS Batch Runtime (SBR) Container is a licensed, customizable, SAS Viya container that enables you to run your SAS Compute workloads on cloud-based execution services. It provides an additional deployment option for production code developed in SAS Viya and allows you to run your workloads virtually anywhere. This presentation outlines the design rationale, implementation highlights, and recommended patterns for executing SAS batch jobs in cloud-based batch execution environments. SBR empowers data scientists and data engineers to run their new or existing SAS code (datastep, macros, procs, ds2, etc.,) with minimal or no modifications, ensuring a seamless transition to cloud-based execution options when necessary, due to industry regulatory or corporate requirements. SBR provides organizations with greater scalability, operational efficiency and freedom. What if you could run your SAS batch workloads anywhere-without being tied to your Viya environment? In this early preview, Daniel Zuniga introduces the SAS Batch Runtime, a container-based approach that lets you build, version, and execute SAS jobs across cloud platforms like AWS Batch or even on-prem systems with minimal code changes. Through a live demo, you'll see how a simple workflow moves from development in Viya to execution in external environments, unlocking new flexibility, scalability, and reproducibility for batch processing. But the real intrigue lies in how this decoupling changes the game-giving teams more control over where and how their workloads run. If you've ever wondered how to extend SAS beyond its traditional boundaries, this is a glimpse into a powerful new direction | source youtube |
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| 128 | SAS Data Management Reinvented: Building the AI-Ready Data Foundation | Mark Hiew, Ron Agresta |
Video recording: As AI adoption accelerates, many organizations are discovering that data-not models-is the primary constraint to success. This session outlines how SAS is rethinking data management on Viya to support AI at enterprise scale, emphasizing the need for governance, quality, and lineage to operate in real time rather than after the fact. It introduces the concept of a data intelligence layer , where data access, engineering, and governance are unified into a continuous system. The session also highlights upcoming portfolio updates and roadmap innovations designed to deliver faster, more trustworthy, and scalable AI outcomes. Presenters: Mark Hiew and Ron Agresta, SAS | source youtube |
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| 129 | SAS Digital Twins: Sterilcentral & Synthetic Vision | William Collis, Paul Gavin |
Video recording: Digital twins enable organizations to replicate real-world environments in a virtual setting, unlocking powerful capabilities for optimization and AI model development. This session showcases how a healthcare sterilization facility used a high-fidelity digital twin to identify operational bottlenecks and improve efficiency without disrupting live operations. It also highlights how synthetic data generated from the twin can train computer vision models for scenarios that are difficult or impossible to capture in reality, such as safety violations or rare events. Beyond healthcare, the approach demonstrates broad applicability across industries-from manufacturing to energy-by combining simulation, analytics, and AI in a single environment | source youtube |
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| 130 | SAS on AWS Marketplace: Simplifying Enterprise Procurement and Cloud Alignment | Jessica Colleen | Presentation: AWS Marketplace is becoming a go-to channel for organizations that want software procurement to align cleanly with their cloud strategy. This session walks through how SAS fits into that model, showing how teams choose between SaaS, bring-your-own-cloud, and customer-hosted deployments based on how much control they need versus how quickly they want to move. It also highlights how Marketplace simplifies purchasing-centralizing spend, tying into AWS commitments, and reducing friction across procurement and IT. The result is a more streamlined path from initial evaluation to production, especially for teams navigating complex enterprise or regulated environments | source youtube |
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| 131 | SAS Party Tricks: Helpful SAS 9 Techniques That Power Modern Analytics | Michael Sale | Presentation: Boston SAS Users Group (BASUG) presentation at SAS Innovate Users Day 2026 | source youtube |
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| 132 | SAS Sales and Operation Agent: How Agentic AI Transforms Planning into a Strategic Advantage | Brett Vogelsang | Presentation: Sales & Operations Planning (S&OP) is evolving - and Agentic AI is leading the charge. In this session, discover how the SAS S&OP Agent streamlines demand forecasts, planning, and execution with conversational AI. Business users can simulate scenarios, generate production schedules, and adjust plans - all without writing code. Learn how AI-driven planning drives better decisions, fosters collaboration across teams, and adapts in real time to changing conditions. See how SAS brings trust and transparency to the heart of operational strategy. What if your monthly supply chain planning cycle could shrink from weeks to just days-or even happen on demand? In this session, Brett Vogelsang introduces the SAS Supply Chain Agent, a powerful multi-agent system designed to replace manual, EXCEL-driven workflows with real-time, scenario-based decision making. Through an engaging demo, you'll see how planners can instantly analyze forecasts, simulate disruptions like plant shutdowns, and compare outcomes side by side-complete with visualizations and data-driven insights grounded in trusted SAS models. The result? Faster decisions, fewer surprises, and a smarter way to navigate constant supply chain disruptions. If you've ever wondered how AI agents could truly transform planning and collaboration, this is a glimpse into what's possible |
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| 133 | SAS SpeedyStore: High-Performance, Cost-Efficient Storage for Modern SAS Data Estates | Jonas Lie Nielsen, Nils Erik Fossum |
Presentation: Modernizing SAS data estates for cloud and AI workloads introduces challenges around cost, performance, and scalability-especially with traditional CAS-based architectures. This session demonstrates how SAS SpeedyStore (built on SingleStore) enables a "code-to-data" approach, combining high-performance analytics with a distributed, cloud-agnostic storage layer. You'll see how organizations can reduce infrastructure footprint, keep data in open formats, and execute SAS workloads directly in the database without excessive data movement. Real-world examples, including Posten Bring, highlight faster processing, lower storage costs, and a more flexible architecture for scaling modern analytics workloads | source youtube |
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| 134 | SAS Viya Copilot for SAS Visual Analytics: AI-Powered Assistance for Smarter Analytics and Reporting | Falko Schulz | Presentation: Step into the future of analytics with SAS Viya Copilot for SAS Visual Analytics, where AI meets human creativity to transform how you work with data. This session introduces two breakthrough capabilities in SAS Visual Analytics: In-context AI, your precision tool for refining data and reports with smart, context-aware suggestions, and Conversational chat, your natural language partner for building dashboards, filtering data, and embedding insights on demand. Together, they empower every user to move faster from question to clarity - while maintaining full transparency and trust. Discover how these features put advanced AI directly in your workflow, helping you craft impactful stories and decisions with confidence | source youtube |
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| 135 | SAS Viya in Orbit: Optimizing Government Innovation Investments with AI | Kelsey Young | Presentation: Government agencies must make smart investment decisions in rapidly evolving technology areas-often with limited budgets and incomplete visibility. This session shows how combining text analytics, visualization, and generative AI can uncover patterns in unstructured research data to better understand where funding is going and identify opportunities for collaboration or optimization. By enriching public contract data with AI-derived technology domains, users can explore trends, drill into specific research topics, and analyze spending across agencies and regions. The integration of AI agents further enhances this process by summarizing complex technical content and making insights more accessible in real time | source youtube |
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| 136 | SAS Viya on Google Cloud: Unleashing Performance Powered by Intel on GCP for Affordable AI | Joshua Griffin, Vijay Bandari, Brooks McCluskey |
Video recording: Scaling modern analytics and AI workloads depends heavily on infrastructure performance, especially as parallel experimentation and automated modeling continue to expand. In this session, you'll see how SAS Viya is optimized for Google Cloud using Intel's latest processors to deliver faster model training, scoring, and large-scale analytics. The discussion highlights how advancements in CPU architecture, memory handling, and distributed processing can significantly reduce runtime while supporting increasingly complex AI workflows. Real-world benchmarks demonstrate substantial performance gains and improved cost efficiency for organizations running high-throughput analytics in the cloud. Presenters: Joshua Griffin, SAS, Vijay Bandari, Intel Corporation, and Brooks McCluskey, Google Cloud | source youtube |
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| 137 | SAS/ACCESS to DuckDB: Fast, Flexible Access to Modern Open File Formats | Chris DeHart | Video recording: DuckDB has become a favored analytics engine thanks to its lightweight, in-process design and native support for modern open file formats such as Parquet, Iceberg, and Delta Lake. This demo introduces the new SAS/ACCESS to DuckDB engine and shows how SAS users can seamlessly connect to DuckDB and query a wide range of file types-on-premises or in the cloud. You'll see how to specify file-type access, perform multi-table and multi-file joins with SAS SQL, and tap into DuckDB's performance advantages for flexible analytical workloads. Attendees will learn practical techniques to simplify open file format access and expand SAS's interoperability with modern data ecosystems |
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| 138 | SASBuddyLM: AI-Powered SAS Programming for Clinical Research | Tamara Martin, Karma Tarap, Steve Densham, Margaret Wishart |
Video recording: SASBuddyLM is a fine-tuned language model purpose-built to understand the craft of SAS programming within clinical research. Trained on curated Bristol Myers Squibb (BMS) codebases, it bridges a critical gap left by general LLMs-whose proficiency in open-source languages rarely extends to SAS. Integrated into Visual Studio Code, SASBuddyLM generates, explains, and refines SAS code with context awareness grounded in real-world clinical workflows. It combines the precision demanded by regulatory environments with the adaptability of modern AI, bringing a new level of fluency and reliability to SAS programming in the pharmaceutical industry | source youtube |
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| 139 | Simulated Worlds: The Future of CV Training | John Campbell, Jon Walker |
Video recording: Computer vision is entering a new era, where synthetic worlds outperform the real one. In this session, William and Paul reveal how ultra-realistic simulations built in Unreal Engine-combined with technologies like MetaHumans-enable SAS's Games and AAIM teams to train CV models more accurately than models trained on real-world data. You'll learn how the breakthrough was discovered, why simulated environments are now faster, cheaper, safer and more generalizable, and which industries will benefit first. See the end-to-end workflow, from rendering pipelines to model evaluation. Learn how your organization can begin leveraging high-fidelity simulation to accelerate CV development and unlock previously impossible performance. Step inside a world where data isn't just collected-it's created. In this session, SAS unveils how synthetic data and digital environments are transforming computer vision, generating millions of perfectly labeled images in minutes to train smarter, faster models. See how customizable virtual scenes-down to gear, lighting, and behavior-unlock new possibilities for safety detection, compliance, and real-world AI performance. If you want a glimpse into the future of AI training, this is where simulation meets innovation | source youtube |
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| 140 | Simulating Emergency Department Demand with Synthetic Data: SAS for Health System Capacity Planning | Owen Brown | Presentation: Accurate capacity planning is critical for emergency departments, yet access to realistic patient arrival data is often limited by privacy and data availability constraints. This session demonstrates how SAS can generate fully synthetic datasets that simulate future emergency-department arrivals. Using patterns from administrative health data common across Canadian health systems, attendees will see how SAS models daily and hourly arrivals, assigns acuity, demographics, and diagnostic needs, and produces reproducible, stochastic data representing future demand. Learn how synthetic patient data supports operational modeling, patient-flow analysis, and bed-utilization planning for emergency care systems. A constant stream of patients, rising demand, and limited capacity-how do emergency departments keep up? In this session, Owen Brown shows how synthetic data generated with SAS can recreate realistic patient arrival patterns, acuity levels, and care needs without exposing sensitive data. Watch how these simulated inputs power advanced operational models to test staffing scenarios, reduce wait times, and improve patient flow before real-world changes are made. If you're curious how data science can reshape healthcare planning, this is a compelling look at turning simulated insight into real operational impact | source youtube |
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| 141 | Smarter Maintenance Decisions with AI Agents and SAS RAM | Paul Venditti, Caleb Jordening |
Presentation: Speed and precision are critical in modern asset maintenance. This session shows how combining SAS Retrieval Agent Manager (SAS RAM) with Computerized Maintenance Management Systems (CMMS) enables predictive, GenAI-powered maintenance agents. With retrieval-augmented generation and real-time analytics, organizations can reduce downtime, prioritize repairs, and empower technicians with timely, trusted recommendations. Learn how SAS solutions streamline workflows, cut costs, and drive smarter asset decisions - all with governance built in. What if your factory floor "check engine lights" could actually tell you what's wrong-and what to do next? In this session, SAS and FactoryXT walk through a real-world paper machine scenario, showing how AI and IoT data can come together to predict failures, reduce costly downtime, and close skills gaps. You'll see how agentic AI goes beyond alerts to deliver actionable, explainable insights tailored to technicians and planners alike. If you're curious how connected systems, data, and AI can transform industrial operations, this is one you won't want to miss | source youtube |
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| 142 | Spotlight Stage: Aldermore Bank's Managed Cloud Journey | Eddie Grant, Jimmy Shelley, Stewart Jardine |
Video recording: In this spotlight session, hear from Aldermore Bank on what it really takes to reduce operational friction and refocus teams on what matters most: delivering business value. Join to understand the challenges Aldermore Bank was trying to solve, what changed after rethinking how their cloud platform was run, and the tangible impact on speed, resilience, and growth. Whether you manage your own cloud today or are simply questioning how much time and talent platform work should consume, you'll leave with insights to help you evaluate smarter ways of operating in the cloud and the role the right partnership with SAS can play. What does it really take to merge two legacy systems, modernize at scale, and still hit aggressive deadlines? In this candid session, Aldermore Bank shares the real story behind its journey from dual SAS 9.4 environments into a unified SAS Viya managed cloud platform-complete with challenges, pivots, and hard-earned lessons. Discover how strong pre-planning, tight collaboration, and a bold "big bang" migration unlocked significant speed gains, reduced operational overhead, and opened the door to advanced analytics capabilities. If you're planning your own cloud move, this is a practical, behind-the-scenes look at what works-and what to watch out for. Presenters: Eddie Grant, SAS Jimmy Shelley, SAS Steward Jardine, Aldermore Bank | source youtube |
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| 143 | Spotlight Stage: Digital Twins | William Collis, Paul Gavin |
Video recording: Come learn about how SAS is harnessing the power of the Unreal Engine to pioneer the future of analytics. William Collis and Paul Gavin, Co-Heads of Simulation, will first walk through the details of SAS's client engagement with Sterilcentral, highlighting how a single twin deployment solved multiple business challenges. William and Paul will then generalize Sterilcentral's experience to a broad array of industries - including Energy & Utilities, Oil & Gas, Industrial Safety and more - featuring multiple demos of possible product implementations | source youtube |
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| 144 | Spotlight Stage: Fighting Fraud with Synthetic Image Detection | Robert Blanchard | Video recording: This session demonstrates an agentic fraud-screening pipeline that combines computer vision, OCR, and LLM reasoning, operationalized in SAS Intelligent Decisioning. Documents and images are parsed via OCR, while a language model checks numerical and semantic consistency to flag anomalies linked to synthetic or manipulated artifacts. In parallel, a computer vision model performs forensic image analysis. A global decision model fuses these signals to generate a calibrated risk score that drives policy-based actions-auto-approve, human review, or reject. When manipulation is detected, explainable visual overlays highlight suspicious regions. The solution is orchestrated end-to-end in SAS Viya with monitoring dashboards | source youtube |
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| 145 | Spotlight Stage: From Insight to Action: Intelligent Agents Reshaping Supply Chain Decisions | Jessica Curtis, Brett Vogelsang |
Presentation: Supply chains have never operated under more complexity - shifting demand signals, global disruptions, and the pressure to act faster with less margin for error. AI is no longer just a planning aid; it's becoming the decision layer itself. In this session, we go beyond the vision to show what it looks like in practice. The SAS Supply Chain Agent - part of the Models & Agents portfolio - combines advanced analytics with agentic reasoning to autonomously navigate complex trade-offs across planning, procurement, and fulfillment. We will showcase how the agent enables a connected view of the supply chain, empowering organizations to quickly assess multiple supply chain disruptions and collaborate more effectively. Supply chain professionals can access intelligent recommendations right where work happens and drive better planning outcomes at scale | source youtube |
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| 146 | Spotlight Stage: From Plan to Progress: Lessons from Posten Bring's Modernization Journey | Bendik Øvergaard, Torstein Heien-Sunde, Christiana Lycan |
Presentation: Modernization isn't just a technical shift - it's a strategic one. In this session, Posten Bring shares how deliberate planning, strong cross-partner collaboration, and a focus on people enabled a successful modernization journey to Viya 4. Step into a real-world transformation where a 400-year-old company takes a bold leap-shutting down decades of legacy systems to fully embrace a cloud-first future on SAS Viya. This story goes beyond migration, revealing the massive effort behind moving terabytes of data, modernizing workflows, and bringing hundreds of users along for the ride. You'll hear the wins, the setbacks, and the hard-earned lessons that turned a complex migration into a scalable, high-performing analytics platform. If you're thinking about your own move to the cloud, this candid journey shows what it really takes-and why it's worth it. Presenters: Bendik Øvergaard, Director of Business Intelligence and Datawarehouse, Posten Bring Torstein Heien-Sunde, Project Manager, Posten Bring Christiana Lycan, Principal Product Manager, SAS | source youtube |
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| 147 | Spotlight Stage: Running Agentic AI at Scale: SAS Retrieval Agent Manager on Intel Xeon | Saurabh Mishra, Archita Bhatt |
Presentation: Discover how organizations can lower AI infrastructure costs while maintaining high performance by running AI workloads on Intel Xeon processors. The next phase of AI isn't about better models-it's about running complex workflows efficiently at scale. In this session, SAS and Intel showcase how SAS Retrieval Agent Manager, optimized for Intel Xeon, enables high-performance agentic pipelines across enterprise environments. We highlight workload patterns across OCR, vectorization, embedding, retrieval, and LLM inference, and demonstrate how key stages can run efficiently on CPUs-reducing GPU dependence while maintaining performance | source youtube |
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| 148 | Spotlight Stage: SAS AI Navigator: Solving the AI Governance Problems You Actually Have | Allie DeLonay, Matt McGivern |
Video recording: Join SAS and Protiviti to explore how AI governance goes from concept to practice - and how SAS AI Navigator helps organizations get there. As AI use cases multiply across the enterprise, knowing what's deployed, who owns it, and whether it's compliant shouldn't require heroic effort. Drawing on real challenges Protiviti sees across organizations today, this session walks through how SAS AI Navigator addresses them head-on - from inventorying your AI assets and applying consistent governance standards, to managing the approvals that stand between an AI use case and production. Walk away with a concrete picture of what structured, accountable AI governance looks like in practice. Step into the evolving world of AI governance with a tool designed to bring clarity to complexity-no matter where your organization is on its journey. This session teases how SAS AI Navigator unifies visibility across all models, agents, and use cases while streamlining approvals and reducing friction across teams. You'll glimpse how organizations can move from confusion and stalled AI initiatives to faster, more confident decision-making. Watch the full video to see how this "single pane of glass" approach could unlock real value from your AI investments | source youtube |
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| 149 | Spotlight Stage: Transform Your Data into an AI Engine | Dan Soceanu | Video recording: AI success depends on more than data models. It depends on trusted, accessible and well-governed data. In this session, learn how Data Intelligence from SAS Viya helps organizations modernize the data estate for AI, operationalize trusted data and AI at scale, and accelerate performance by bringing analytics closer to where data lives. See how integrated data management, governance and in-database execution can reduce cost, improve trust and speed better business outcomes across cloud, hybrid and on-premises environments. The result is a clearer understanding of going beyond managing data infrastructure, rather turning raw data into trusted, governed and usable assets that can power analytics and AI in production, in real world use cases | source youtube |
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| 150 | SQLinDS and evExpress SAS packages - a tribute to SAS rock-stars! | Bartosz Jabłoński | Presentation: Polish SAS Users Group (PolSUG) presentation at SAS Innovate Users Day 2026 | source youtube |
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| 151 | Streamlining Model Risk Management for Operational Efficiency | Kelly Potter | Presentation: Model risk teams aren't slowing down-if anything, the rise of AI and constantly evolving regulations is making their jobs more complex and time-sensitive. This session focuses on how SAS is modernizing Model Risk Management on Viya, connecting models, data, and governance workflows into a single, integrated view so teams can move faster without losing control. From visualizing how models are linked (and where risk might spread) to auto-generating documentation and surfacing key model insights in one place, the goal is simple: reduce manual effort and make critical information easier to act on. It's a practical look at how MRM can keep up with increasing regulatory pressure while improving efficiency for validators, model owners, and risk teams | source youtube |
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| 152 | Strengthening AML Programs with Advanced Analytics: Rules Engine and Beyond | Aimee Marva, Alex Gulley |
Presentation: Anti-money laundering (AML) programs have traditionally relied on rules-based systems, but these approaches often generate high volumes of false positives and require ongoing manual tuning. This session explores how Ally Bank is evolving its monitoring strategy by layering interpretable machine learning models on top of existing rules engines-enhancing detection while maintaining regulatory compliance. Using techniques like similarity modeling, the team can identify emerging patterns and prioritize suspicious activity more effectively without replacing core controls. The result is a balanced, phased approach to modernization that improves efficiency, expands coverage, and builds stakeholder confidence in advanced analytics. Presenters: Aimee Marva and Alex Gulley, Ally Bank | source youtube |
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| 153 | Strengthening Operational Resilience with SAS Governance and Compliance Manager | Greg Bousamra | Presentation: While banks and insurance companies have achieved significant efficiency gains through digitalization, they have also become exposed to an ever-evolving risk landscape where not only bad actors, but also environmental, geopolitical, and social developments pose direct threats to their daily operations. Effectively monitoring these risks and managing their mitigation is critical to strengthening organizations' operational resilience and ensuring business continuity. Regulators around the globe have recognized this and are raising their requirements accordingly. With SAS Governance and Compliance Manager on Viya, customers achieve regulatory compliance, increase transparency, remove susceptibilities to risk, and gain a competitive advantage with higher data quality and lower total cost of ownership in a flexible, integrated, AI-enabled solution. See how organizations move beyond monitoring risk to actively managing it across the enterprise. In this session, Greg Bousamra shows how SAS Governance and Compliance Manager brings fragmented processes-data, controls, incidents, and policies-into one unified, transparent framework on Viya. Watch as AI and Copilot capabilities help teams analyze incidents, uncover root causes, and identify gaps in controls faster than ever. If you're looking to turn regulatory pressure into a competitive advantage, this demo reveals how to build resilience with smarter, AI-driven decision-making | source youtube |
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| 154 | The AI Battleground: Why Fraud Analysts Need to Evolve Faster Than Fraudsters | Kimberly Darpel | Video recording: Fraud is rapidly scaling into a trillion-dollar global problem, fueled by advances in generative and agentic AI that enable criminals to industrialize scams with unprecedented sophistication. This session highlights how technologies like deepfakes, voice cloning, and synthetic identities are making fraud harder to detect-shifting the challenge from simple rule-based detection to an AI-driven arms race. As a result, fraud analysts must evolve beyond traditional workflows, developing stronger skills in analytics, investigation, and critical decision-making to keep pace with increasingly complex threats. Ultimately, success depends not just on technology, but on continuous training, upskilling, and a coordinated enterprise-wide approach to fraud risk management | source youtube |
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| 155 | The Anatomy of an [Enterprise] AI Agent | Saurabh Mishra | Presentation: Moving from experimental AI to enterprise-ready agents requires more than powerful models-it demands system design that delivers reliable, governed outcomes. This session breaks down the essential characteristics of enterprise AI agents, from data grounding and orchestration to observability, cost control, and system connectivity. You'll learn how components like RAG, MCP, memory, and multi-agent orchestration come together to bridge the gap between probabilistic AI outputs and deterministic enterprise needs. The session also demonstrates how SAS Retrieval Agent Manager enables these patterns in real-world decisioning workflows | source youtube |
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| 156 | The Beneficiary Claims Data API: A Real-World Example of Using SAS Tools | Jack N. Shoemaker | Presentation: The Centers for Medicare & Medicaid Services (CMS) provides administrative data through the Beneficiary Claims Data API (BCDA). This session demonstrates a real-world workflow using SAS tools (PROC HTTP and the JSON engine) to submit data requests, track their status, and retrieve NDJSON files upon completion. While BCDA documentation offers cURL examples, we'll show how to translate those templates into PROC HTTP for greater flexibility and control over API responses. Because BCDA requires a multi-step process with asynchronous submissions, we'll also address the orchestration challenges and present a practical solution. Although focused on BCDA, the techniques discussed apply broadly to other APIs for accessing data in modern digital ecosystems |
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| 157 | The Future of FRAML: One Platform, One View of Financial Crime | Allison Swagert | Presentation: The Fraud and Anti-Money Laundering (FRAML) landscape is evolving rapidly as fraudsters and financial criminals continuously adapt their tactics faster than financial institutions can respond. At the same time, regulatory expectations continue to intensify, increasing pressure on FIs to detect, prevent, and respond to financial crime more effectively. To keep pace, institutions need a modern FRAML approach that unifies fraud and AML capabilities while eliminating operational and intelligence silos. By deploying FRAML capabilities on a single, cloud-native architecture, financial institutions can manage the entire analytics lifecycle using a common set of tools and data. Leveraging advanced AI and machine learning, a holistic FRAML solution enables organizations to connect insights across fraud and AML and proactively mitigate emerging financial crime risks. Uncover how banks can break down silos and fight financial crime with a single, unified platform. In this demo, SAS brings together fraud, AML, and customer due diligence into one powerful investigative view-revealing hidden connections, suspicious behaviors, and enterprise-wide risk in real time. Watch as network analytics and entity resolution expose a complex case, then see how generative AI steps in to instantly translate scattered alerts into a clear, actionable narrative. It's a glimpse into the future of FRAML-faster investigations, smarter decisions, and a holistic view of financial crime driven by AI. Presenter: Allison Swagert | source youtube |
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| 158 | The Missing Link Between Your Data and Your Decisions | Steve Hill | Presentation: Getting from data to decision just got easier. SAS 360 Marketing AI and SAS 360 Marketing Decisioning work together to close the gap between insight and impact. Marketing AI's out-of-the-box recipes let marketers run sophisticated analytics like churn modeling without a data science team, and those results flow directly into Marketing Decisioning's real-time, marketer-controlled execution engine. Next best action strategies, eligibility logic, and zero IT tickets. If you've ever wanted analytics that actually move the needle, this is the session for you. Ready to see how marketers go from raw data to real-time decisions in one seamless flow? In this fast-paced session, you'll get a firsthand look at how SAS Customer Intelligence 360 brings together audience building, AI-powered modeling, and campaign execution in a single platform. Watch as churn models are created with guided workflows, turned into actionable audiences, and immediately activated in automated customer journeys. From next best action strategies to real-time decisioning, this demo shows how analytics doesn't just inform-it drives impact at every step | source youtube |
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| 159 | The Other Synthetic Data: Privacy-Preserving Text Generation with SAS | Tom Sabo | Presentation: Synthetic data typically focuses on structured datasets, but this session explores how organizations can generate realistic synthetic text to complement that data while preserving privacy. By combining structured data with curated narrative examples and leveraging large language models, SAS enables the creation of context-rich, varied text such as emails or incident reports. This approach improves model training, supports rare event simulation, and enhances testing as systems move from development to production. Integrated with SAS tools like Visual Text Analytics and agent workflows, it provides a scalable and governed way to generate privacy-safe narrative data | source youtube |
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| 160 | TQIP Data Equipment: Making Trauma Data Less Traumatic to Use | Brooke Ellen Delgoffe | Presentation: The Trauma Quality Improvement Project (TQIP) Data is national level health data available for use in researching traumatic injury. Using this data requires a large degree of data manipulation and calculation to properly investigate the leading questions in trauma research today. This presentation and paper provide ready to use code used to achieve triage evaluations, injury severity measures by region, shock index ratio, and frailty. These are hot topics in trauma research not pre-calculated in the data itself. To demonstrate its utility, a recently completed study will be used as an example. Code used to produce study outcomes will be evaluated for speed, reproducability, and ease of use. The coding concepts used in this solution are simple yet powerful: Primary Query Language: PROC SQL Macro Language Data Manipulation: PROC TRANSPOSE, Arrays, PROC FORMAT |
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| 161 | Transforming Compliance: SAS GenAI Copilot for Automated Model Governance | Rocco Cannizzaro | Video recording: See how SAS Copilot automates model governance-analyzing documentation, completing policy assessments, and preserving full auditability with human oversight. What happens when an AI model makes a decision and no one can explain why? In this session, the speaker shows how weak model governance turns technical hiccups into massive financial, reputational, and human disasters-drawing on real-world failures. You'll see why manual, fragmented model risk processes can't keep up, and how delays and blind spots quietly compound risk. The tease: a look at how SAS Model Risk Management and GenAI co-pilots aim to flip governance from a brake on innovation into a competitive advantage | source youtube |
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| 162 | Trustworthy Prior Authorization Decisions with a Hybrid AI Approach | Greg Massey | Presentation: Prior authorization reviews require clinicians to interpret medical records and insurer criteria, an intensive, error-prone process. While AI can help, healthcare demands accuracy, consistency, and privacy, making unconstrained generative models risky. This session introduces SAS Document Analysis for Health Records, a hybrid AI approach that blends NLP, machine learning, and rule-based NER to produce repeatable, clinically relevant outputs. See how results are transformed into semantic triples for use in knowledge graphs to enable structured comparison against medical-necessity rules. This framework improves efficiency while preserving transparency and trust-key requirements for responsible automation in prior authorization. Presenter: Greg Massey, SAS | source youtube |
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| 163 | Uncover Customer Insights Through Agentic AI Data Exploration | Cameron Fisher | Presentation: Customer behavior holds the answers to better campaigns-but finding those answers often requires technical skills, time, or help from analytics teams. What if you could simply ask questions in plain English and get insights from your customer data? This live demonstration will show how conversational queries could help marketers explore audience behaviors, evaluate campaign performance, and discover optimization opportunities-all without technical expertise or waiting for reports. Whether you have a single question or want to dive deep into customer behavior, the agent can help you analyze behavioral data, and surface insights that help you understand what's working, what's not, and what to do next | source youtube |
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| 164 | Unleashing the Future of Marketing with AI with Deloitte | Juilo Tavares | Presentation: Join us for an inspiring session where we'll reveal how artificial intelligence is reshaping the very foundations of marketing. Discover how AI is not only revolutionizing video, imagery, and digital content but also accelerating the pace of response, powering hyper-personalization, and breaking down barriers to democratize advanced strategies. Learn how AI is making marketing less complex and enabling seamless orchestration across technologies and processes. Don't miss Deloitte's vision for the evolving AI-driven marketing landscape, and see how SAS is seamlessly woven into the essential technology tapestry needed for tomorrow's marketers. Whether you're looking to stay ahead of the curve or seeking practical insights to elevate your strategy, this session will equip you with the knowledge and excitement to lead the charge. With Deloitte's strategic guidance, the session demonstrates how to translate advanced customer intelligence capabilities into measurable business outcomes and build a scalable marketing foundation designed to evolve with changing customer expectations. Is AI something that controls us-or something that unlocks our potential? Framed through a Star Trek metaphor, this talk explores how today's AI is shifting from intimidating "Borg-like" automation to creative, empowering collaboration. You'll see how organizations are already transforming workflows-turning meetings, documents, and strategy into real, executable outcomes in hours instead of months. Watch to discover how this isn't future hype, but a practical, human-centered way to work faster, smarter, and more creatively right now | source youtube |
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| 165 | Updates to SAS/ACCESS Features in SAS 9.4 | Margaret A. Crevar | Presentation: As part of its long-term support for SAS 9.4, SAS continues to modernize and improve the features in its SAS/ACCESS engines. If you rely on cloud databases (Snowflake, BigQuery, Databricks), recent SAS 9.4 maintenance releases offer significant improvements. Learn how you can stay productive with SAS 9.4 while still keeping up with the changing profiles of modern databases on-prem and in the cloud |
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| 166 | Uploading to AWS Redshift via S3 from SAS 9: A Practical Guide to High-Performance Loads | Brooke Ellen Delgoffe | Presentation: Uploading data from SAS 9 to AWS Redshift at scale requires careful consideration of performance, data formatting, and error handling. In this session, Brooke Delgoffe walks through two approaches-direct LIBNAME loads and S3-based bulk loading-and explains when each method is most effective. You'll see how a custom macro automates S3 uploads, handles edge cases like encoding and data type mismatches, and significantly improves performance for large datasets. The session also highlights common pitfalls, including CSV transformation issues and Redshift load errors, along with strategies to diagnose and resolve them |
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| 167 | Using AI to Enhance SAS Programming for AML and Data Analysis in Banking | Chris Greig | Presentation: This session explores how GitHub Copilot can be used to modernize and optimize SAS programming workflows in AML and banking analytics. Attendees will learn how to use AI-assisted code generation to improve PROC SQL queries, automate documentation, and streamline data analysis. The session includes a deep dive into prompt engineering, style guide creation, and real-world applications using the AML transaction monitoring dataset. Along with additional use cases such as macro generation, code conversion within SAS or code conversion to open-source tools, and various uses cases that Copilot can be used on. What if the fastest way to improve your SAS workflow isn't replacing your tools-but pairing them with Copilot in smarter ways? In this practical session, Chris Gregg walks through real-world examples of using Copilot alongside SAS to modernize legacy code, troubleshoot errors faster, and even build complex regulatory outputs with far less manual effort. The talk goes beyond hype, showing where Copilot genuinely saves time-and where human judgment still matters. If you want concrete ideas for making SAS development more efficient without losing control, this is definitely one to watch |
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| 168 | Using Open-Source and SAS Together for Data Quality: Python Meets the SAS QKB | Mickey Schauf | Presentation: Ensuring consistent data quality across tools and teams is a growing challenge-especially as more programmers work in Python. This session introduces the SAS Quality Knowledge Base (QKB) for Python, enabling shared, standardized data quality rules across both SAS and open source workflows | source youtube |
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| 169 | Virtual Eyes on the Line: Scaling Manufacturing Performance with SAS-Powered Remote Metrology | Nassim Rahimi | Video recording: Manufacturers face rising pressure from global competition, fragmented supply chains, and increasing quality expectations. Yet, despite major innovation, many remain data-rich but insight-poor. Vast volumes of sensor and operational data often fail to deliver timely, actionable intelligence. This session introduces Remote Metrology powered by SAS AI and advanced analytics, using machine learning to create virtual measurements of product quality and process health. By combining equipment signals, process parameters, and statistical models, manufacturers gain "virtual eyes" across operations-enabling continuous outcome prediction, early anomaly detection, and performance optimization without relying solely on physical inspection | source youtube |
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| 170 | We Are Family - Practical Tips for Integrating Python, R, and SAS Under One Roof | Chevell T. Parker | Presentation: In today's analytics landscape, SAS programmers and data analysts often rely on multiple programming languages to perform analysis. This session demonstrates how Python, R, and SAS can work together seamlessly in the Viya environment as one analytical family. We will discuss the integration points of Python and R with Viya 4 as well as key features of the PYTHON procedure, effective management of your Python and R environments, and troubleshooting tips. Look at generating analysis with Cloud Analytics Services (CAS) using Python and R and explore various integration points. Take a look at the new and flexible SAS Viya Workbench and how it can expand and accelerate your ecosystem. Whether you are a SAS programmer or data analyst, you will discover that each language has a seat at the table under one unified roof. Ever wondered how Python, R, and SAS can stop competing-and start working as one team? In this high-energy session, Chevelle Parker breaks down how these "siblings" come together in SAS Viya to share data, run code, and power analytics across a unified environment. You'll see real examples of cross-language workflows, from executing Python inside SAS to moving data seamlessly between platforms and leveraging each language's strengths. If you're juggling multiple tools today, this session shows how to bring them under one roof-and make your analytics stack faster, smarter, and easier to manage |
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| 171 | Welcome to SAS Viya Copilot | Peyton Cuccia | Video recording: The best way to build AI is with AI. SAS Viya Copilot empowers customers with the power of generative AI on an already robust platform. As we continue down our roadmap and see consistent improvements in SAS Viya Copilot functionality, we want to highlight some of the latest best practices for SAS Viya Copilot. This presentation shows that even a non-technical professional can move with ease to build dashboards and reports, build and enhance model pipelines, and generate reliable SAS code. This is a session for non-technical users to get an understanding of how to get started with SAS Viya Copilot and ways they can utilize Copilot to close the technical gaps that stand between them and faster time to insight | source youtube |
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| 172 | What's New in SAS Visual Analytics | Jeff Diamond | Presentation: This session highlights the latest enhancements in SAS Visual Analytics on Viya 4 , showcasing improvements across performance, usability, and advanced features. New capabilities include AI-powered copilots for faster report creation and insight generation, expanded visualization options, and stronger integration with tools like Microsoft 365. Updates also improve report performance, enable real-time what-if analysis, and introduce reusable templates and APIs for automation. Overall, the release focuses on making analytics faster, more interactive, and easier for both report creators and consumers | source youtube |
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| 173 | When 'Sounds Right' Isn't 'Is Right': Evaluating LLMs in Production | Mary Osborne | Presentation: As large language models move from demos to deployment, many organizations are discovering that grammatical fluency and convincing responses can mask fundamental flaws. This session will tackle the gap between what sounds right and what is right-exploring why traditional metrics like BLEU or ROUGE fail to capture real-world performance. Attendees will learn how SAS is designing evaluation frameworks that measure not just accuracy, but faithfulness, consistency, safety, and domain relevance-and how they can operationalize those metrics within production workflows. We'll look at practical examples of hallucination detection and human-in-the-loop validation. Why now? Because as LLMs increasingly drive decision-making, weak evaluation isn't just a research issue-it's a governance, trust, and brand-reputation issue | source youtube |
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| 174 | Your Quantum AI Journey Begins: Introducing the SAS Quantum Lab | Amy Stout, Joshua Griffin |
Presentation: This session introduces SAS Quantum Lab , a new quantum capability planned to be surfaced in SAS Viya, designed to help organizations begin practical quantum exploration while quantum hardware and algorithms continue to mature. The speakers explain why quantum is drawing real investment interest-especially for complex optimization and machine learning problems-and why experimentation is currently expensive and iteration-heavy. To address key barriers (skills, cost, and proving value), SAS Quantum Lab includes a guided "tutor" experience and enables side-by-side comparison of classical, quantum, and hybrid approaches. A core set of capabilities (AutoQX) focuses on parallelism, caching, and autotuning to reduce redundant runs and speed up experimentation-helping teams explore more problems with the same budget | source youtube |
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