Upcoming Webinars

Identifying and Managing Risk Factors for Deploying AI/Optimization into Production with “The Princeton 20”

Event Info

icon_calendar.jpgMay 10, 2023
icon_clock.jpg5pm EST
icon_stopwatch.jpgDuration: 1 hour

Speakers

Steve Sashihara



Steve Sashihara is the CEO of Princeton Consultants, www.princetonoptimization.com, which he founded in 1981. The firm specializes in applying optimization (a.k.a. advanced analytics, AI) to improve operational decision making. The firm has successfully delivered over 1800 projects to a wide range of leading companies in many industries, as well as organizations and agencies such as the US Census Bureau, with whom Steve became an INFORMS Edelman Laureate in 2022 for helping optimize the 2020 US Census. Steve is the author of The Optimization Edge: Reinventing Decision Making to Maximize All Your Company’s Assets, the first non-technical introduction to optimization for business executives. He is a graduate of Princeton University.

How can you identify and manage risks for AI and optimization projects as you move from the discovery phase into full deployment? Steve will present "The Princeton 20,” a framework with scorable factors to help analytics teams overcome obstacles. The Princeton 20 is divided into 10 business environment risk factors, such as sponsoring executive and KPIs, and 10 technical risk factors, such as application novelty and decision speed—and understanding both “halves” is critical. Drawing on lessons from projects over four decades, Steve will discuss techniques and tips to mitigate the core challenges to successfully deploying AI and optimization.

 
Register Here

Modeling Equity in AI and Optimization

Event Info

icon_calendar.jpgFebruary 17, 2022
icon_clock.jpg5pm EST
icon_stopwatch.jpgDuration: 1 1/2 hour

Speakers

Prof_Hooker.jpg

John Hooker
Professor of Operations Research and Holleran Professor of Business Ethics and Social Responsibility at Carnegie Mellon University  

His research interests include integration of optimization and constraint programming methods, ethics of business and AI, cross-cultural management and ethics, and music theory.  He is an INFORMS Fellow and recipient of the INFORMS Computing Society award, the INFORMS Khachiyan Award for lifetime achievements in optimization, and the Research Excellence Award from the Association for Constraint Programming. 

There is rapidly growing interest in formulating equity and fairness in AI and optimization models.  This talk survey several concepts of equity and how they can be formulated for an optimization model or machine learning context.  Two extended examples from health care and disaster preparedness will be presented.

 
View Webinar Recording