The Decision Intelligence Lab

The Decision Intelligence Lab
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  • 기업 운영
  • 격월 업데이트

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.

  1. 10월 1일

    #13 Filippo Focacci: Constraint Programming & Decision Optimization

    In this episode of the Decision Intelligence Laboratory podcast, Dr. Filippo Focacci, co-founder and CEO of DecisionBrain, shares insights into the world of optimization, the evolution of their DB Gene platform, and the impact of generative AI on decision-making processes. The conversation covers Filippo's journey into optimization, the strengths of Decision Brain's team, and the technological approaches they employ, including constraint programming and mixed integer programming. Real-time applications and case studies illustrate the practical implications of their work, while discussions on team dynamics and the future of AI highlight the evolving landscape of decision intelligence. Chapters 0:00 - Preview 0:44 - Meet Filippo Focacci 4:30 - Learn about Decision Brain 6:30 - The Strengths of Decision Brain 9:13 - Technological Approaches in Optimization 11:38 - The Evolution of Gene DB 16:45 - Real-Time Applications of Decision Brain 21:12 - Team Roles & Responsibilities in Optimization Projects 23:00 - Evolving the Gene Platform 27:30 - Implementing Optimization in Practice 30:30 - The Impact of Generative AI on Business 32:52 - Filippo'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 Filippo Focacci: ⁠https://www.linkedin.com/in/filippo-focacci-35a5091/ 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 Recommendations: Follow Yves Caseau: https://www.linkedin.com/in/ycaseau/ 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

    37분

  2. 9월 17일

    #12 Jon Petersen: Solving Urban Mobility Problems with Data

    In this episode of the Decision Intelligence Lab podcast, hosts Vijay Mehrotra and Michael Watson interview Jon Petersen, Vice President of Data at Archer, an aerospace company specializing in electric vertical takeoff and landing (EVTOL) aircraft. The conversation explores Archer's mission to revolutionize urban mobility, the critical role of data science in aircraft design and operations, and the collaborative efforts between data science and engineering teams. Petersen shares insights on the challenges of data-driven decision-making, the importance of building a diverse and effective team, and strategies for securing support for data science initiatives. Chapters 0:00 – Preview 0:33 – Meet Jon Petersen 1:37 – Revolutionizing Urban Mobility 2:38 – Managing Aircraft Noise 4:23 – The Role of Data Science at Archer 9:38 – Collaborating with Engineering Teams 13:50 – Trip Density Distribution & Destination Origins 17:53 – Challenges in Data-Driven Decision-Making 19:48 – Team Building & Collaboration 28:53 – Scaling the Manufacturing Facility 30:33 – Funding & Justifying Data Science Initiatives 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 the guest Jon Petersen: ⁠https://www.linkedin.com/in/jon-petersen-ba623950/ 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 Recommendations from Guest: - Misbehaving: The Making of Behavioral Economics by Richard H. Thaler - Thinking, Fast and Slow by Daniel Kahneman 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

    36분

  3. 9월 4일

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

    In this episode of the Decision Intelligence Lab podcast, hosts Vijay Mehrotra and Michael Watson discuss the concept of DecisionOps with Carolyn Mooney, Co-Founder & CEO of Nextmv. They discuss the evolution of decision-making systems, the importance of simulation and testing, and how to build trust within organizations. Carolyn shares insights on hierarchical optimization, the responsibilities of different roles in decision systems, and the latest trends in decision-making technologies, including the impact of generative AI. The conversation emphasizes the need for clear communication and collaboration between technical teams and operational users to enhance decision-making processes. Chapters 0:00 - Preview 0:38 - Meet Carolyn Mooney 1:38 - What is DecisionOps? 3:44 - The Journey of Nextmv 6:20 - Applications of DecisionOps in Various Industries 8:30 - Simulation and Testing in DecisionOps 12:37 - Building Trust Through Testing and User Interaction 14:40 - Hierarchical Optimization and Decision Making 18:21 - Ownership and Responsibilities in DecisionOps 22:11 - Working on the Product With Clients 31:28 - Trends in Decision-Making Technologies 33:54 - Final Thoughts and Resources Takeaways * Decision Ops is essential for getting decisions live in organizations. * Simulation helps in understanding the impact of decisions. * Testing capabilities should be integrated with CI/CD platforms. * Hierarchical optimization allows for balancing cost and service levels. * Ownership of decision-making processes should involve operational teams. * Prototyping and user feedback are key to successful decision systems. 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 Carolyn Mooney: ⁠https://www.linkedin.com/in/carolyn-m-mooney/ Nextmv: https://www.nextmv.io/ 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

    35분

  4. 8월 21일

    #10 Kartik Gada: Technology, Change, and Management

    In this episode of the Decision Intelligence Lab podcast, hosts Vijay Mehrotra and Michael Watson engage with Karthik Gada, a CFO and author, to explore the accelerating rate of change in technology and its implications for businesses, economies, and individuals. Gada discusses how technological advancements are interconnected and how they impact various sectors, including healthcare and education. He emphasizes the importance of adapting to rapid changes, fostering an entrepreneurial mindset, and leveraging individual strengths to navigate the complexities of the modern world. The conversation also touches on the challenges posed by institutional rigidity and the need for effective leadership in an era of constant disruption. Chapters 0:00 - Preview 0:40 - Meet Kartik Gada 1:40 - Understanding Technological Disruption & Accelerating Pace of Change 4:05 - The Impact of Cost Reduction on Technology 7:40 - Bottlenecks in Healthcare and Education 12:30 - How Individuals Respond to Change 15:48 - Embracing Change and Entrepreneurial Mindset 20:50 - Education and Career Pathways in a Changing World 24:15 - Managing Economic Complexity with AI 28:20 - Leadership in an Era of Rapid Change 31:50 - Closing Thoughts 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 Kartik Gada: https://www.linkedin.com/in/kartikgada/ 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

    34분

  5. 8월 6일

    #9 Borja Menéndez: Making Planners into Super Heroes

    In this episode of the Decision Intelligence Laboratory podcast, Borja Menéndez, Lead Operations Research Engineer at Trucksters who also earned his PhD in OR, joins us to discuss his journey into the field of operations research, the impact of his work at Trucksters, and the importance of integrating data science with traditional optimization methods. He shares insights on the relay optimization problem, the challenges of implementing algorithms in logistics, and the significance of user-centric design in developing effective solutions. Borja also reflects on the transition of his blog, Feasible, to a paid model and the future of operations research in the context of Gen.AI. Chapters 00:00 Introduction to Operations Research and Borja Menendez 01:14 The Journey into Operations Research 04:39 Real-World Applications of Operations Research 07:03 Understanding Trucksters and Relay Optimization 12:48 Challenges in Relay Optimization 16:21 Non-Technical Aspects of Implementing OR 20:15 Testing and Quality Assurance in Optimization Models 25:22 User-Centric Design in Optimization Solutions 27:47 Transitioning to a Paid Model for Feasible 29:32 Integrating Data Science with Operations Research 35:52 The Future of Operations Research and Gen.AI Follow the show Apple: ⁠https://podcasts.apple.com/in/podcast/the-decision-intelligence-lab/id1811085064⁠ Spotify: ⁠https://open.spotify.com/show/0lFoAVKqJHTYSZNpeN61ou?si=0ae973aab0174b3b⁠ Check out Borja Menéndez's Newsletter: https://www.feasible.club/ Connect with guest Borja Menéndez: ⁠https://www.linkedin.com/in/borjamenendezmoreno/ 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

    38분

  6. 7월 23일

    #8 Ben Alamar: Business Lessons from Sports Analytics

    In this episode of the Decision Intelligence Lab podcast, hosts Vijay Mehrotra and Michael Watson engage with Ben Alamar, a PhD economist and sports analytics expert. They explore the evolution of sports analytics, the impact of motion tracking technology, and the challenges of integrating data into decision-making processes in sports. Ben shares personal anecdotes about his experiences with teams, the importance of understanding risk, and the role of leadership in fostering a data-driven culture. Ben offers advice for aspiring sports analysts and concludes with recommendations for further reading. Chapters 00:00 - Preview 1:30 - Meet Ben Alamar 3:21 - The Evolution of Sports Analytics 7:04 - Motion Tracking and Its Impact 10:03 - Translating Sports Analytics to Business 12:00 - Behavior Change and Mindset Shifts 14:40 - Risk Perception in Decision Making 19:16 - Fan Engagement and Business Objectives 20:20 - Draft Decisions: Case Studies 28:00 - Fostering Evidence-Based Culture in Sports 33:43 - Advice for Aspiring Sports Analysts 36:46 - Recommendations for Further Reading Book Recommendations: - "Basketball Beyond Paper" by Dean Oliver - "Ballistic" by Henry Abbott Check out P3 Applied Sports Science: https://www.p3.md/ 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 Benjamin Alamar: ⁠https://www.linkedin.com/in/benalamar/ 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

    40분

  7. 7월 14일

    #7 Peter Cacioppi: Real-Time Model Deployment

    In this episode, Mike & Vijay sit down with Peter Cacioppi, Principal Operations Research Scientist at Decision Spot to dive into the intersection of model building and production software development. Peter shares insights on the tools he's developed, the role of Python in the Gurobi ecosystem, and the transformative impact of LLMs on software development workflows, particularly in real-time optimization. Tune in to explore the challenges and innovations in bringing production models to life. Chapters 0:00 - Preview 1:20 - Meet Peter Caccioppi 1:47 - Integrating Computer Science in OR 7:16 - Tidy, Tested, and Safe 16:55 - The History & Utitlity of Ticdat 31:21 - GenAI's Role in OR and Software Development 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 Peter Cacioppi: ⁠https://www.linkedin.com/in/peter-cacioppi-86519210/ 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

    37분

  8. 6월 25일

    #6 Zahir Balaporia: The Politics of Data Science

    In this episode of the Decision Intelligence Lab podcast, host Vijay Mehrotra and co-host Michael Watson engage with Zahir Balaporia, an expert in analytics and decision-making. They explore the concepts of the 'last mile' and 'extra mile', and the politics of analytics. Zahir also shares real-world examples of how organizational dynamics can impact the success of analytics initiatives. The conversation highlights the significance of beliefs in decision-making, the necessity of building trust, and the challenges of change management in the face of evolving technologies like AI. Chapters 0:00 - Preview 1:00 - Meet Zahir Balaporia 2:00 - The Last Mile & Extra Mile Problems in Supply Chain 7:24 - Real-World Examples of Analytics Failures 11:54 - Building Trust and Relationships in Analytics 21:25 - Cultural Dynamics in Technology Adoption 29:15 - The Future of Work with AI and Change Management 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 Zahir Balaporia: ⁠https://www.linkedin.com/in/zahirbalaporia/ 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

    37분
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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.

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  • 제작진
    The Decision Intelligence Lab
  • 방송 연도
    2025년
  • 에피소드
    14
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    © The Decision Intelligence Lab
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    The Decision Intelligence Lab

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