HOME QUICK SEARCH AUTHORS KEYWORDS HELP BUGS

artificial intelligence

135 papers and 34 presentations; 166 titles.

Back to keywords

Conference × Year × Title × Authors Extras Pages
PharmaSUG 2026 From Statistical Programmer to Analytical Partner: Navigating the Future of Biostatistics Shivani Gupta source 6
PharmaSUG 2026 Strategic AI Coaching for Life Sciences: A Framework for Industry Leaders and Managers Priscilla Gathoni source 15
PharmaSUG 2026 When Code Isn-t Enough: Communication and Leadership Skills for Statisticians and Programmers John M. LaBore,
Joshua M. Horstman,
Robert Goodloe		 source 6
PHUSE US 2026 Beyond Administration: Leveraging AI for Strategic Clinical Project Management Hayley MacKenzie source
presentation source		 7
PHUSE US 2026 Bridging Analysis and Strategy: The Transformative Role of Statistical Analysts in Drug Development Lingsong Yun source
presentation source		 17
PHUSE US 2026 Changing rules on Data Ownership and Data Access [presentation] Darshan Kulkarni source 38
PHUSE US 2026 Digital Twins for Clinical Submissions: Simulating Regulatory Review Before Submission Heather Gorr,
Divya Kapoor		 source
presentation source		 9
PHUSE US 2026 From Demo to Deployment: Bridging the AI Implementation Gap Melanie Hullings,
Emily Yates		 source
presentation source		 5
PHUSE US 2026 Next Generation QC Workflow Optimisation: Current Practices and Future Directions from the Emerging Trends & Innovation Working Group Matthew Finnemeyer,
Caroline Phares		 source
presentation source		 13
PHUSE US 2026 Problem-First Agentic AI: Transforming Statistical Computing with Purposeful Automation Rajesh Hagalwadi source
presentation source		 8
PHUSE US 2026 Risk-Driven AI Oversight in Clinical Research: A Tiered Framework Using ISO, ICH Q9 and FMEA Laxmiraju Kandikatla,
Rajesh Hagalwadi		 source
presentation source		 9
PHUSE US 2026 The EQ Matrix: Unlocking the Human Edge in an AI World Pratibha Jalui source
presentation source		 4
PHUSE APAC 2026 Critical & Sensitive Information (CSI) Paper AS02 Revolutionizing Clinical Quality: A Frontier Approach with Quality by Design (QbD), Infrastructure Modernization and Data-Driven Analytics Priti Gupta,
Deepa Balaji		 source
presentation source		 12
PHUSE APAC 2026 Elevating transparency in data standardization Applying XAI in SDTM, ADaM, and TLF Generation Shakila Jagadeesan source
presentation source		 10
PHUSE APAC 2026 Harnessing Real-World Evidence and Data Visualisation to Improve Clinical Development and Accelerate Patient-Centric, Insight-Driven Decision-Making [presentation] Mujeebuddin Shaik source 20
PHUSE APAC 2026 Innovative Strategies for Managing Missing Data in Real-World Data: Insights from APAC Global Capability Centers Likhita Kolli,
Tuhin James Paul		 source
poster source		 12
PHUSE APAC 2026 Integrating Real-World Evidence (RWE) and Digital Health Technologies (DHTs) with AI for Enhanced Patient Outcomes (RE) Varun Sethuraman source
presentation source		 10
PHUSE APAC 2026 Unlock Deeper Clinical Insights: A Unified Approach to Data Analysis with SAS, R, and Python Pavan Kallurkar source
presentation source		 7
PHUSE EU 2025 Bridging Languages: Building Integrated Analytical Tools with SAS, R, and Python for Clinical Data Margarethe Povey source
presentation source		 7
PHUSE EU 2025 How to Identify and Operationalize GenAI Use Cases Which Really Help You Christoph Bergen,
Luis Wirth		 source
presentation source		 8
PHUSE EU 2025 Human in or Human out of the Loop: Impact and Things To Consider While Deploying AI Olivier Bouchard source
presentation source		 8
PHUSE EU 2025 Landing Moonshots Ross Farrugia source
presentation source		 8
PHUSE EU 2025 Poseidon: Streamlined Regulatory Screening of HA Websites with AI/ML to Extract Updates and Reduce Manual Efforts Maria Giovanna Zilli,
Fabian Wahren		 source
presentation source		 8
PHUSE EU 2025 Rethinking Automation in the AI Era James Zee,
Liz Cole		 source
presentation source		 4
MWSUG 2025 So You Want To Be An Independent Consultant: 2025 Edition Joshua M. Horstman source 12
SESUG 2025 Extending SAS OnDemand for Academics with Python Integration via SASPy Zhongshan Cheng 21
WUSS 2025 Rerun or Reboot? Reproducibility in a Golden Age of Generative AI Wendy Christensen source 5
WUSS 2025 So You Want To Be An Independent Consultant: 2025 Edition Joshua M. Horstman source 12
PharmaSUG 2025 AI Empowered Metadata Governance Prasoon Sangwan source 9
PharmaSUG 2025 AI Performing Statistical Analysis: A Major Breakthrough in Clinical Trial Data Analysis Toshio Kimura,
Siqi Wang,
Weiming Du,
Songgu Xie		 source 11
PharmaSUG 2025 Application of advanced GenAI tools in sample size estimation - questions and thoughts Igor Goldfarb,
Ella Zelichonok		 source 12
PharmaSUG 2025 Automation of Trial Design Domains generation using AI Prasoon Sangwan,
Mayank Bhatia,
Charusheela Thakur,
Shailesh Kumar		 source 8
PharmaSUG 2025 Rising Above Artificial Intelligence: Feeling Confident With Your Human Intelligence Priscilla Gathoni source 15
PHUSE US 2025 Actual Intelligence and Artificial Intelligence Joining Forces to Perform Statistical Analysis, Turning AI Hype into Reality Songgu Xie,
Toshio Kimura		 source
presentation source		 11
PHUSE US 2025 AI-Infused Leadership: Empowering C-Suite Decisions with Code-Driven Insights Ravindra Shukla,
Aman Bahl		 source
presentation source		 7
PHUSE US 2025 eProtocol and the Promise of Automation Bill Qubeck,
Suhas Giriraj		 source
presentation source		 17
PHUSE US 2025 Gen AI in People Leadership: Unlocking Engagement and Inclusivity Rinki Jajoo,
Shaveta Bansal		 source
presentation source		 8
PHUSE US 2025 Python's Future in Clinical Trials: Innovations and Collaborative Advancements Shweta Shukla,
Sohan Lal		 source
presentation source		 10
MWSUG 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 7
MWSUG 2024 Predicting the Impact of Storms on Utility Customers [presentation] David J. Corliss source 23
PHUSE EU 2024 Artificial Intelligence Potential Use Cases in Clinical Data Engineering Deepak Pakalapati,
Mounika Pillamarapu		 source
presentation source		 8
PHUSE EU 2024 It's Not You; It's My Algorithm: How Prompt Engineering Can Save Your Relationship with AI Josua Böser,
Vanessa Kapsona		 source
presentation source		 12
PHUSE EU 2024 Keynote Speaker - Maneesh Juneja [presentation] Maneesh Juneja source 104
PHUSE EU 2024 Standards Implementation with a Knowledge-Driven, AI-Powered Platform Roger Gagali Angoh source
presentation source		 3
SESUG 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 7
WUSS 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 6
WUSS 2024 Training Domain Specific AI for Clinical Data: Developing an AI Agent to Transform EDC Data to CDISC SDTM and then to ADaM Standards Sy J. Truong source 12
WUSS 2024 Will statistical programmers be replaced by Artificial Intelligence? [presentation] Junying Zhang source 20
PharmaSUG 2024 Advancing the Maturation of Standardized CRF Design Sugumaran Muthuraj,
Rubha Raghu		 source 9
PharmaSUG 2024 Applications of Machine Learning and Artificial Intelligence in Real World Data in Personalized Medicine for Non-Small Cell Lung Cancer Patients Sherrine Eid,
Samiul Haque,
S. Robert Collins		 source 8
PharmaSUG 2024 Bridging AI and Clinical Research: A New Era of Data Management with ChatGPT Illia Skliar source 12
PharmaSUG 2024 Generative Artificial Intelligence in sample size estimation - challenges, pitfalls, and conclusions Igor Goldfarb,
Vikas Sharma		 source 26
PharmaSUG 2024 Harmony in Motion: Nurturing Work-Life Balance for Sustainable Wellbeing Purvi Kalra,
Varsha Mithun Patil		 source 6
PharmaSUG 2024 Safety Signals from Patient Narratives PLUS: Augmenting Artificial Intelligence to Enhance Generative AI Value Sherrine Eid,
Sundaresh Sankaran		 source 14
PharmaSUG 2024 Unraveling the Layers within Neural Networks: Designing Artificial and Convolutional Neural Networks for Classification and Regression Using Python-s Keras & TensorFlow Ryan Paul Lafler,
Anna T. K. Wade		 source 18
PHUSE US 2024 A Holistic Approach to Trustworthy Artificial Intelligence (AI) Tara Chavda,
Qingying Ally Lu		 source
presentation source		 6
PHUSE US 2024 AI-Facilitated Monitoring Methods and Techniques to Enhance Participant Safety and Data Integrity Kris Wenzel,
Martin Bauwens		 source
presentation source		 6
PHUSE US 2024 Digital Protocol Vision ... How Digital Information Can Transform and Automate Our Processes [presentation] Bill Qubeck,
Chris Decker		 source 27
PHUSE US 2024 Empowering Healthcare Through Generative AI Ravindra Shukla,
Aman Bahl		 source
presentation source		 7
PHUSE US 2024 Evaluating Safety Compliance in Clinical Trials by Leveraging Patient Narratives and Deep Learning Sherrine Eid,
Sundaresh Sankaran		 source
presentation source		 9
PHUSE US 2024 Exploring the Potential Use of Generative AI in the Regulatory Review Process [presentation] Qingying Ally Lu,
Kathryn Matto		 source 19
PHUSE US 2024 Future-Proofing Clinical Data Sciences: The Pivotal Role of Therapeutic Area Proficiency Sascha Ahrweiler source
presentation source		 12
PHUSE US 2024 Navigating the Safe Integration of AI (ChatGPT) into Clinical Trials Programming Workflow Mykyta Vysotskyi source
presentation source		 10
PHUSE US 2024 Post-Text (TLGs) to In-Text Statistical Table Automatic Conversion for Clinical Study Reports (CSRs) Divya Kanniah source
presentation source		 5
PHUSE US 2024 Revolutionising Informed Consent Form Analysis with Generative AI: Enhancing Efficiency in Drug Development and Data Re-Use Hangyu (Cedric) Liu source
presentation source		 11
PHUSE US 2024 What Role Does ChatGPT Have in your Clinical Programming? Andy Ratcliffe source
presentation source		 7
PHUSE EU 2023 Boosting SAS Programming Efficiency with ChatGPT: A Clinical Trials Perspective Illia Skliar source
presentation source		 11
PHUSE EU 2023 Get the Full Picture of Your Data with SAS Andy Bayliss source
presentation source		 13
PHUSE EU 2023 GPT (Generative Pretrained Transformers) and LLM (Large Language Models) have generated a lot of attention since their inception in early 2023 with the advent of OpenAI GPT3.5, then GPT4.0 Jerome Vetillard,
Mark Lambrecht		 source
presentation source		 16
PHUSE EU 2023 Red Pill or Blue Pill? Assessing the Impact of Artificial Intelligence on Pharmaceutical Programming Paul Shannon source
presentation source		 6
PHUSE EU 2023 The Evolving Role of Statistical Programmers in the Pharmaceutical Industry: The Impact of Artificial Intelligence Cindy Marabotti source
poster source		 8
PHUSE EU 2023 Unlock Privacy-Sensitive Data with AI-Generated Synthetic Data Wim Kees Janssen source
presentation source		 6
WUSS 2023 Introduction to Machine Learning - Descriptions and Best Practices Jim Box source 13
PharmaSUG 2023 Metaverse in the Healthcare - More Real than imagined! Aman Bahl source 14
PharmaSUG 2023 What is Machine Learning, anyway? Jim Box source 11
PHUSE US 2023 A Pragmatic Approach to Data Cleaning - Decisions in Selecting When to Apply AI/ML [presentation] Robert Musterer,
Alison Banda		 source 15
PHUSE US 2023 EI (Emotional Intelligence) vs AI (Artificial Intelligence) exploring the potential of human emotions in an artificially driven virtual world Priya Venkatesan Iyer source
presentation source		 3
PHUSE EU 2022 An Approach to Effectively Reproduce TFLs When Performing ADaM Conversion [presentation] Amine Khemiri,
Caroline Pelckmans		 source
video		 19
PHUSE EU 2022 How to Avoid Conformance Issues When Metadata Varies Across Parameters [presentation] Caroline Pelckmans,
Oussama Zineddine		 source
video		 24
PHUSE EU 2022 Protocol Deviation Programming [presentation] Oussama Zineddine,
Caroline Pelckmans		 source
video		 25
PHUSE EU 2022 The Future-proof Data Fabric for Digital and Decentralised Trials [presentation] Venu Mallarapu source 12
SESUG 2022 SAS, SAS Coders, and IDEA (Inclusion, Diversity, Equity, Accessibility) Kelly D. Smith source 6
SAS Explore 2022 Analytics Innovation in AML [video] Beth Herron source
youtube
PHUSE US 2022 Bias in Machine Learning: Your Responsibilities as a Programmer [presentation] Jim Box source 34
PHUSE US 2022 Practical Challenges in Handling Unstructured Data Using Artificial Intelligence [presentation] Farha Feroze source
video		 11
PHUSE EU 2021 Fingerprinting Your TFL Outputs to Monitor Changes Between Batch Runs [presentation] Pamphile Beaujean source
video		 20
PHUSE EU 2021 Programming Techniques to Enhance the Presentation of Forest Plot with SAS 9.4 [presentation] Zhen (Laura) Li source
video		 18
PHUSE US 2021 Artificial Intelligence (AI) Innovations in Clinical Research [poster] Sanjeeva Thalla source 1
PHUSE US 2021 Digitalization, Agile Mindset and Virtual Collaboration - Yet Delivering a "Pile of Paper"? [presentation] Jesper Zeth,
Parag Wani		 source
video		 17
PHUSE US 2021 From Digital Data to Decision Intelligence: Infrastructure and Algorithms Powering Automation in RBM and Data Review [presentation] Raj Indupuri source
video		 12
PHUSE US 2021 The Journey to Responsible and Ethical AI [presentation] Shobhit Shrotriya source
video		 22
PharmaSUG 2021 How simulation will impact the future of Healthcare & Life Sciences. Pritesh Desai,
Allison Sealy,
Shawn Tedman,
Lois Wright,
Bahar Biller		 source 14
PharmaSUG 2021 Integrating Digital Images for Ophthalmology Trials using Machine Learning Techniques for Image Analysis. Shubhranshu Dutta source 13
SGF 2021 Auditing Algorithms: The Need for New Tools to Combat Bias in Artificial Intelligence Jason Brinkley source
presentation		 6
SGF 2021 Midsize Banks and Credit Unions Level the Playing Field With AI and Advanced Analytics [presentation] Lawrence Dennison-Hall source 9
PHUSE EU 2020 Enhanced COVID-19 (SARS-COV-2) Detection - An Artificial Intelligence Approach [presentation] Muhammad Hamiz Ahmed,
Soundarya Palanisamy		 source
video		 37
PHUSE EU 2020 How I Learnt Python in 15 Days Vikas Dhongde source
video
presentation source		 4
PHUSE EU 2020 Pandemics: Data Evolution and Visualisation Poojitha Mandava,
Sri gouri vasuki Bikkina		 source
video
presentation source		 5
PHUSE EU 2020 Principles and Governance Towards the Ethical Use of Data and AI in the Pharmaceutical Industry [presentation] Margi Sheth source
video		 17
PHUSE EU 2020 SDTM: Let's Read Outside the Bible [presentation] Sandra Latorre source
video		 23
PHUSE EU 2020 XAI: Interpretability of Artificial Intelligence to Ensure Ethics in Drug Development [presentation] Olivier Bouchard source
video		 13
SGF 2020 From AI to XI: It all starts with 'HI' Tho H. Nguyen source 7
SGF 2020 Smarter and Faster with SAS Visual Analytics Rick Styll source 13
SGF 2020 The Increasing Use of Artificial Intelligence in the Intelligence Community Gordon Robinson source 9
PharmaSUG 2020 PROC Future Proof; Amy Gillespie,
Susan Kramlik,
Suhas R. Sanjee		 source 8
PHUSE US 2020 A Journey Through End to End Data Flow Marcin Makowski,
Stayce Murray		 source
presentation source		 12
PHUSE US 2020 Accelerating Translational Research by Leveraging AI and Machine Learning Leveraging AI source
presentation source		 9
PHUSE US 2020 Artificial Intelligence (AI)-enhanced Precision Medicine Drug Development Mohammad Afshar source 9
PHUSE US 2020 Data Review of RECIST Criteria using ML/AI A Proof of Concept Example Priya Gopal source
presentation source		 7
PHUSE US 2020 Disruption is Personal: RWE and AI Changing the Game for Personalized Medicine Arnab Goswami source
presentation source		 7
PHUSE US 2020 Is Artificial Intelligence our destiny? Data-driven Decision-making in a Dynamic Landscape using SAS Viya Aman Bahl,
Hrideep Antony		 source
presentation source		 13
PHUSE EU 2019 Oracle Analytics Cloud Mike Collinson source
presentation source		 8
PHUSE EU 2019 The Impact of AI, RWE, Precision Medicine and Mobile Health Technology on Streamlined Clinical Trials Stijn Rogiers,
Olivier Bouchard		 source
presentation source		 11
PharmaSUG 2019 Artificial Intelligence and Real World Evidence - it takes two to tango Charan Kumar Kuyyamudira Janardhana source 9
SGF 2019 Data Governance: Harder, Better, Faster, Stronger Vincent Rejany source 18
SGF 2019 Electric Vehicles: Impact and Opportunity for the Power Grid Tim Fairchild source 14
SGF 2019 Getting Started with the SGPLOT Procedure Cleiton Barbosa Silva,
Douglas Avedikian,
Parajara Moraes Alves Júnior		 source 8
SGF 2019 Stories from the Trenches: Tips and Techniques for Career Advancement from a SAS Industry Recruiter Molly Hall source 15
SGF 2019 The Anatomy of an Artificial Intelligence Solution for Automation of Underwriting Decision-Making Tanya Kolosova source 17
PHUSE US 2019 An Overview of the PHUSE ML/AI Working Group Project Sairam Gorthi,
Kevin Lee		 source
presentation source		 4
PHUSE US 2019 Artificial Intelligence and Healthcare Aman Bahl,
Hrideep Antony		 source
presentation source		 10
PHUSE US 2019 Metadata-driven Automation in Drug Research Hanming Tu,
Zhongping Lin		 source
presentation source		 13
PHUSE US 2019 New Drug Development Paradigm [presentation] Francis Kendall,
Cytel		 source 33
PHUSE US 2019 R Markdown for Reproducible Research Cole Arendt source
presentation source		 15
PHUSE US 2019 Utilizing Artificial Intelligence for Efficient CRF Design Komal Govil,
Sai Vundela		 source
presentation source		 5
PHUSE US 2019 Voice-based Clinical Monitoring Assistant Anoop Ambika source
presentation source		 7
PHUSE EU 2018 AI-powered Xbiom 3.1 Smart Curation & Transformation of Data [presentation] Kurien Abraham,
Nicolas Philippe		 source 12
PHUSE EU 2018 Automating SDTM - Get it Prepared with Your Voice Akhil Vijayan,
Anoop Ambika		 source
presentation source		 8
PHUSE EU 2018 Data Engineering Project (Educating for the Future PHUSE Working Group) Guy R. Garrett,
Bev Hayes		 source
presentation source		 14
WUSS 2018 The Anatomy of Artificial Intelligence Solution for Automation of Underwriting Decision-Making Process. Samuel Berestizhevsky,
Tanya Kolosova		 source 16
WUSS 2018 The Hidden Job Market: Tips and Techniques to Advance Your SAS Career Molly Hall source 15
PHUSE US 2018 Cross-study Analysis of SDTM Data Using R Greg Jones,
Todd Cornelius		 source
presentation source		 6
PHUSE US 2018 Upcoming Technology with Transformative Potential for Life Sciences Sameer Thapar source
presentation source		 3
PharmaSUG 2018 AGING MAN_AGEMENT or millennial TECH_AGEMENT - road ahead for organizations Charan Kumar K J source 12
SGF 2018 Algorithmic Marketing Attribution and Conversion Journey Analysis Suneel Grover,
Malcolm Lightbody		 source 14
SGF 2018 Biomedical Image Analytics Using SAS Viya Fijoy Vadakkumpadan,
Saratendu Sethi		 source 12
SGF 2018 Data Management Meets Machine Learning Gregory S. Barnes Nelson source 16
SGF 2018 Demystifying Buzzwords: Using Data Science and Machine Learning on Unsupervised Big Data Ben Murphy source 10
SGF 2018 Harvesting Unstructured Data to Reduce Anti-Money Laundering (AML) Compliance Risk Austin Cook,
Beth Herron		 source 10
PHUSE EU 2017 Dipping our Fingers into the World of Data Representation - A Visual Journey Using Encapsia Clinica Minola Ilica source
presentation source		 4
PharmaSUG 2017 The Elusive Data Scientist: Real-World Analytic Competencies Gregory S. Barnes Nelson,
Monica Horvath		 source 14
SGF 2017 The Elusive Data Scientist: Real-World Analytic Competencies Gregory S. Barnes Nelson source 14
SGF 2017 The Rise of the Machines, Analytics, and Humans: Artificial Intelligence in the Age of the IIoT Kathy Ball,
Robert Silverman		 source 10
PharmaSUG 2015 The Disposition Table: Make it Easy Endri Endri,
Benedikt Trenggono		 source 10
SGF 2014 Developing the Code to Execute Particle Swarm Optimization in SAS Anurag G. Srivastava,
Sangita Kumbharvadiya		 source 4
SESUG 2009 Adapt to Change of Table Numbers in Deliverable with One Click Tse-Hua J. Shih source 6
SUGI 2005 Rule Your Data with The Link King (a SAS/AF application for record linkage and unduplication) Kevin M. Campbell source 9
PNWSUG 2004 Dynamically Change Your Perspective with the Link King (and a Little SAS/AF) Kevin M. Campbell 9
SEUGI 2003 Developing an Optimal Product Offering Strategy and Maximizing Overall Profitablility of Current Clients [presentation] Tamer Keshi source 13
SEUGI 2003 How SAS is Used for Research and Teaching to Enable Students to Become More Marketable [presentation] Iveta Stankovicova source 22
SCSUG 2002 Statistical Pattere Recognition Using Enterprise Miner and Self-Organizing Maps Keith A. Jones 8
SUGI 2001 Telling Aardvarks from Zebras with an Expert System Written in SAS Anthony M. Dymond source 4
WUSS 2000 An Object-Oriented Expert System for the SAS Environment Anthony M. Dymond source 5
SEUGI 2000 A Finger on the Pulse of PROFILE [presentation] Matgorzata Wyrozumska,
Wiestaw Wysocki		 source 17
SEUGI 2000 Delfos: gas demand forecasting [presentation] Jose Manuel Galvez Canamaque source 45
SEUGI 2000 Enhance SAP step-by-step with Customer Relationship Management Functionality [presentation] Patrick Schünemann source 21
SEUGI 1999 Reporting is a-changing [presentation] Markku V. Suni source 19
NESUG 1998 Creating an ADP Center of Excellence: A Miltonian Approach of Looking Through Two Decades of "Visible Darkness" Peter Parker 6
SEUGI 1996 A management application regarding availability of the company information service ... Luisella Barbano,
Monica Barnicchi		 source 15
SEUGI 1996 Multiple-entity tax planning and goal programming Janet R. Gibley,
Raymond A. Gibley		 source 5
SUGI 1992 Artificial Intelligence and the SAS System: Why You Have to Teach the SAS System about SEX! David B. Malkovsky source 6
SUGI 1989 An Expert Systems Application for Selecting Statistical Techniques Clyde Dent,
Ray Palmer,
Eric Yu I. Wang		 source 3
SUGI 1989 An Introduction to Artificial Intelligences and the SAS System David B. Malkovsky,
H. John Maxwell		 source 6
SUGI 1989 Implementing Classifier Systems in the SAS System Leonard S. Lutomski source 6
SUGI 1988 An Expert System Interface Julie A. Elston,
David J. Purdon		 source 5
SUGI 1988 An Intelligent Interface to the SAS System for Use by Product Development Engineers Debra D. Spencer source 6
SUGI 1988 Creative Uses of Information Systems Kirk Paul Lafler source 5
SUGI 1987 Corporate Computing: A Working Blend of Mainframe, Mini, and Microcomputers E. Jeffrey Hutchinson source 5
SUGI 1987 Interfacing SYSTEM 2000 DBMS with Fourth Generation Languages Gary A. Egan source 9

Back to keywords