Update: Watch a professionally captioned recording of this session. You can also watch the recording with audio descriptions.
Join us on Friday, August 4, as we delve into the dynamic topic of artificial intelligence (AI) and machine learning (ML) with executives from Workday, an enterprise finance and human resources cloud applications provider. Learn the approach behind Workday’s AI/ML solutions, customized to meet the unique needs of the higher education community.
In this engaging session, Gina Guillaume-Joseph and Dan Wesley will review the design principles and techniques that set Workday’s AI/ML innovations apart. They will demonstrate how these transformative technologies can support various aspects of university life, from student services to administrative efficiency and beyond.
This is the 7th installment in our webinar series about AI. You can learn more about the series, catch up on past seminars, and see what we have planned next on our “Exploring Artificial Intelligence @ UW–Madison” page.
Workday AI & machine learning: Different by design
- Date: Friday, Aug 4
- Time: 9:15am to 10am Central Time
- Location: Zoom
- Cost: Free
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This virtual event will be auto-captioned. Please email us if you need additional accommodations to participate. We will share a professionally captioned video recording and any presented materials and resources on this page the week after the webinar.
About the speakers
Gina Guillaume-Joseph
Gina Guillaume-Joseph, PhD, is an author, technologist, educator and thought leader who serves as the chief technology officer-government at Workday. An accomplished systems engineer, Guillaume-Joseph has implemented strategic frameworks and technology platforms with many federal and private contracting agencies, including the Federal Deposit Insurance Corp., the Department of Homeland Security, Booz Allen Hamilton, MITRE and the Department of Defense. Before joining Workday, she served as the director of technology at Capital One. Guillaume-Joseph is a mentor and STEM champion in her community and has received several awards for her leadership and contributions. She has taught at the Volgenau School of Engineering at George Mason University and Worcester Polytechnic Institute as an adjunct professor and is currently an adjunct professor and doctoral research advisor at the George Washington University School of Engineering & Applied Science. She earned her Ph.D. in systems engineering and has developed a predictive analytics and machine learning model for software project failure.
Dan Wesley
Dan Wesley is a technologist, architect and thought leader for enterprise resource planning and enterprise performance management (EPM) who serves as chief technology officer-planning and analytics/EPM at Workday. He has more than 35 years of experience with emerging technologies at institutions including Cornell University, Oracle, PeopleSoft, SAP and AT&T, and advises start-ups in the French tech ecosystem. At Workday, he is responsible for articulating architecture, security, performance and platform initiatives to prospective and existing customers. Wesley is focused on the importance of data foundations and platform responsibility for analytical analysis and planned futures. He is passionate about the appropriate use of machines, behavior and the measured cohesion between business and technology.
About the series
The “Exploring Artificial Intelligence @ UW–Madison” webinar series will run from June to September 2023, featuring webinars exploring a wide range of perspectives and topics relating to the rapidly advancing field of generative AI.
Sponsored by the university’s Division of Information Technology and Data Science Institute, the series aims to provide a platform for experts and visionaries in the field of AI to share their insights, research and experiences in the classroom, research lab and wider academic community.
By delving into topics such as AI ethics, cutting-edge machine learning algorithms, automation and human-machine collaboration, we hope to foster a deeper understanding of AI’s transformative potential and its implications for higher education.