Update: Watch a professionally captioned recording of this session. You can also watch the recording with audio descriptions.
Join us on Friday, August 18, to hear from Nick Switanek, principal data scientist working on artificial intelligence at Microsoft, who will give a brief survey of how the company is developing generative AI models and integrating them into its portfolio of products and services. Switanek will introduce and contextualize the solution patterns for AI applications that Microsoft and its customers commonly use, and discuss Microsoft’s principles for responsible AI before closing with a discussion about emerging trends.
This is the 9th 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.
Generative AI at Microsoft
- Date: Fri, Aug 18
- 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 speaker
Nick Switanek
Nick Switanek, PhD, is principal technical architect for AI with Microsoft Technology Centers. He works with clients across industries to design and build AI systems that create business value and align with responsible AI principles. Based in Chicago, Switanek has done enterprise data science for more than a decade, was a professor at the Kellogg School of Management at Northwestern University and a data scientist at McKinsey & Co. He earned his doctorate in business and his master’s in statistics and machine learning from Stanford University.
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.