All Episodes

#28 Ram Bala: Why Context Is the Missing Layer in Enterprise AI

#27 Dr. Tim Varelmann: Primal Solvers, Inventory Agents & the ML-Optimization Stack

#26 Stephen Wunker: Building Distributed, Adaptive Companies

#25 Justin Trombold: The Biggest Mistake Companies Are Making with GenAI

#24 Evan Shellshear: Why Many Data Science & AI Projects Fail

#23 Richard Savoie: Solving the Hardest Problem in Logistics

#22 John Brandon Elam: Building a Decision Factory in Large Organizations

#21 Linda Crowe & Benjamin Baer: Building a Community for Decision Intelligence

#20 Dr. Vijay & Dr. Mike: Reflections from the First Innings

#19 Dr. Lorien Pratt: Decision Intelligence Defined

#18 Borja Menéndez and Zohar Strinka: Advent of OR & the Informs Analytics Framework

#17 Warren Powell & Adam DeJans Jr. : Bridging the Gap Between Theory & Practice

#16 Peyton Fry: Optimizing Healthcare Operations

#15 Zohar Strinka: Solving the Meta Problem

#14 Warren Lieberman: Revenue Optimization in Self-Storage

#13 Filippo Focacci: Constraint Programming & Decision Optimization

#12 Jon Petersen: Solving Urban Mobility Problems with Data

#11 Carolyn Mooney: DecisionOps, Testing, and Iterative Development

#10 Kartik Gada: Technology, Change, and Management

#9 Borja Menéndez: Making Planners into Super Heroes

#8 Ben Alamar: Business Lessons from Sports Analytics

#7 Peter Cacioppi: Real-Time Model Deployment

#6 Zahir Balaporia: The Politics of Data Science

#5. Ganesh Ramakrishna: Navigating the Startup Landscape

#4 Harley Davis: Combining LLMs with OR and Business Rules for Mission Critical Applications

#3. Laura Albert: Thinking Big and Educating Differently

#2. Doug Gray: Why Data Science Projects Fail

#1. Irv Lustig: Identifying and Mitigating AI Project Risk

The Decision Intelligence Lab Podcast - Trailer