Pittsburgh Chapter Presents: Identifying and Managing Risk Factors for Deploying AI/Optimization

Topic:

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

• 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.

Speaker:

Steve Sashihara

Bio:

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.