The Decision Intelligence Lab
The Decision Intelligence Lab
Podcast Description
The Decision Intelligence Lab explores practical challenges of applying data science, analytics, and AI to drive real-world business outcomes.
Hosted by Prof. Michael Watson (Northwestern University) and Prof. Vijay Mehrotra (University of San Francisco) — both seasoned entrepreneurs, consultants, and researchers — this podcast delivers real-world insights for data professionals, business leaders, & anyone seeking to leverage data for smarter decision making. Each episode features leaders sharing how smarter decisions are reshaping business and technology. Subscribe to join the conversation.
Podcast Insights
Content Themes
The podcast explores themes like the impact of AI on engineering education, the factors that lead to data science project failures, and risk management in AI projects. Specific episodes have discussed topics such as the importance of resiliency in engineering, organizational maturity's role in data science success, and frameworks for risk mitigation like the Princeton 20.
The Decision Intelligence Lab explores practical challenges of applying data science, analytics, and AI to drive real-world business outcomes.
Hosted by Prof. Michael Watson (Northwestern University) and Prof. Vijay Mehrotra (University of San Francisco) — both seasoned entrepreneurs, consultants, and researchers — this podcast delivers real-world insights for data professionals, business leaders, & anyone seeking to leverage data for smarter decision making. Each episode features leaders sharing how smarter decisions are reshaping business and technology. Subscribe to join the conversation.
We live in a world filled where our lives and livelihoods increasingly depend on complex systems. In this episode, Professor Laura Albert from the University of Wisconsin discusses a recent paper on the “Grand Challenges in Industrial and Systems Engineering” and offers some suggestions on how educational programs must evolve in the age of Artificial Intelligence.
Timestamps
0:00 – Preview & Introduction
3:20 – Definition & Importance of Resiliency
5:38 – The Need for Big Thinking in the Field
6:45 – Significance of case studies in bridging academia and industry needs9:00 – Rethinking educational approaches in light of GenAI advancements
11:23 – The Threat of Irrelevance for Industrial & Systems Engineering
12:55 – Challenges of Teaching with GenAI
13:55 – Lessons from COVID-19: Supply Chain Resiliency
16:32 – AI in Decision-Making and Governance
18:15 – Identifying and managing trade-offs
21:24 – Barriers to Impact in Data Science and OR Fields
23:45 – Cybersecurity as an Opportunity for Industrial and Systems Engineering & Operational Research
26:10 – The ‘Equifax Breach Story’
29:10 – Laura Albert’s blog
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
Laura Albert: https://www.linkedin.com/in/lauraalbertphd
Laura’s Blog: https://punkrockor.com/
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 [email protected]
Keywords:
Industrial Engineering, Grand Challenges, Resiliency, Education, AI, Cybersecurity, Supply Chain, Governance, Decision-Making, Operations Research, Industrial and Systems Engineering, Operations Research, Resiliency, Complex Systems, Cybersecurity, Supply Chain, Education, Case Studies, Artificial Intelligence, Generative AI (GenAI), AI Governance, Engineering Curriculum, AI Ethics, Human-AI Teaming, Systems Thinking, Optimality, AI Audits, Workforce Training, Trade-offs, Data Science Projects, Impact Measurement, Public Outreach, Software Supply Chains, Power Systems, Digital Transformation, Decision-Making, Risk Management, Academic Blogging
Disclaimer
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