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