In the first episode of the Decision Intelligence Lab podcast, hosts Vijay Mehrotra and Michael Watson interview Dr. Irv Lustig from Princeton Consultants about the Princeton 20, a framework for identifying and mitigating AI and Optimization project risks. This evaluation framework includes both business and technical factors, and is a valuable methodology for project discovery, effective selling, and building and maintaining trust with clients.
Chapters
00:00 - Preview, & Introductions
02:20 - The Princeton Twenty Framework Overview
3:24 - How the Princeton Twenty Is Used In Practice
7:10 - Client Perspectives on Risk Management
8:27 - Overselling in Optimization and AI Projects
11:11 - Understanding the Decision Scope (Environmental Factor 5)
16:43 - Exploring Value Proposition (Environmental Factor 7)
21:45 - Process Maturity (Technical Factor 10) and Ongoing Maintenance
25:00 - Last Mile Problems in Decision Making
30:33 - Broader Impact & Risk Tolerance
35:35 - Irv's Recommendations
Follow the show
Apple: https://podcasts.apple.com/in/podcast/the-decision-intelligence-lab/id1811085064
Spotify: https://open.spotify.com/show/0lFoAVKqJHTYSZNpeN61ou?si=0ae973aab0174b3b
Connect with guest
Irv Lustig: https://www.linkedin.com/in/irv-lustig/
Princeton 20: https://princetonoptimization.com/ai-project-management/
Connect with hosts
Prof. Vijay Mehrotra (University of San Francisco): https://www.linkedin.com/in/vijay-mehrotra-ba9498/
Prof. Michael Watson (Northwestern University): https://www.linkedin.com/in/michael-watson-07600a1
About the podcast
The Decision Intelligence Lab podcast delivers real-world insights for data professionals, business leaders, and anyone seeking to leverage data & AI for smarter decision-making & successful business outcomes.
For business inquiries, email at decisionintelligencepodcast@gmail.com
Keywords
Princeton 20, AI deployment, optimization, risk management, decision making, data science, consulting, project success, value proposition, process maturity, decision science, project management, technical factors, sales tool, client engagement, cost benefit analysis, value proposition, decision scope, process maturity, machine learning, change management, agile methodology, human-in-the-loop optimization, black box optimization, business problem framing, analytics framework, certified analytics professional, project delivery, solution deployment, operational scheduling, strategic consulting, informs analytics.
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