AI and Analytics Symposium – May 14, 2021 (Webinar)

The Center for Technology Innovation at UW-Milwaukee’s Lubar School of Business is hosting an Artificial Intelligence and Analytics Symposium from 9:00am – 1:15pm (CDT) on Friday, May 14, 2021. The virtual event, which is free and open to the public, features top academic scholars and industry leaders. Please see the agenda below.

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9:00 am   Developing a Research Program in Human-Centered AI

Dr. Ahmed Abbasi
Giovanini Endowed Chaired Professor and Co-Director of the Human-centered Analytics Lab
Mendoza College of Business
University of Notre Dame

Dr. Abbasi will describe ongoing work in human-centered AI – the design, development, and application of advanced machine learning and user modeling methods to human-generated content, including structured, text, image, and sensor-based data – all of which has immense potential for improving the human condition. He will highlight projects related to health and law enforcement to illustrate the journey towards developing a broader interdisciplinary perspective on human-centered AI.

10:00 am   Industry Panel: AI & Analytics in Practice

A discussion of challenges, trends, and success stories in AI and analytics applications in various domains, including banking, insurance, marketing, and health care.

Anupam DattaMajumdar, Head of Global R&D, Vyaire Medical
Brian Eusebio, Vice President of Business Intelligence & Analytics, Associated Bank
Gary Johnson, Vice President of Data Science, MGIC
Scott Names, Senior Vice President & CIO, Church Mutual Insurance Company
Dr. Ross Hightower, Director, SAP University Competence Center, Lubar School of Business (moderator)

11:00am Break

11:15 am   Value-Oriented Analytics Research

Dr. Olivia Sheng
Presidential Professor & Emma Eccles Jones Presidential Chair of Information Systems
David Eccles School of Business
University of Utah

Given the opportunities and value created by a perfect storm of big data, high-performance computing infrastructure, and effective analytics methods – from predictive to prescriptive and visual analytics – Dr. Sheng will discuss how value-oriented analytics research should be used to explore, measure, evaluate, explain, and improve the utility and robustness of analytics results.

12:15 pm   Academic Panel: Emerging Issues in AI & Analytics

A discussion by academic scholars of emerging issues and future directions for research in AI and analytics.

Dr. Roger Chiang, Lindner College of Business, University of Cincinnati
Dr. Shyam Gopinath, Kelley School of Business, Indiana University
Dr. Yuheng Hu, College of Business, University of Illinois at Chicago
Dr. Arun Sen, Mays Business School, Texas A&M University
Dr. Yang Wang, Lubar School of Business, University of Wisconsin-Milwaukee (moderator)

Register Here