Decision Intelligence Lab
The Decision Intelligence Lab podcast explores the practical challenges of implementing data science, analytics, and AI projects, shining a light on many diverse links in the information value chain that transform raw data into real business outcomes.
Each episode features conversations with leaders from technology firms, consultancies, enterprise data science teams, and academia.
Hosted by Professor Michael Watson (Northwestern University) and Professor Vijay Mehrotra (University of San Francisco) — both seasoned entrepreneurs, consultants, and researchers — this podcast delivers real-world insights for data professionals, business leaders, and anyone seeking to leverage data for smarter decision-making.
Subscribe and Follow to join us as we uncover how decision intelligence is reshaping the future of business and technology.
#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