The Decision Intelligence Lab

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. Chapters0:00 – Preview0:33 – Meet Jon Petersen1:37 – Revolutionizing Urban Mobility2:38 – Managing Aircraft Noise4:23 – The Role of Data Science at Archer9:38 – Collaborating with Engineering Teams13:50 – Trip Density Distribution & Destination Origins17:53 – Challenges in Data-Driven Decision-Making19:48 – Team Building & Collaboration28:53 – Scaling the Manufacturing Facility30:33 – Funding & Justifying Data Science InitiativesFollow the showApple: ⁠https://podcasts.apple.com/in/podcast/the-decision-intelligence-lab/id1811085064⁠Spotify: ⁠https://open.spotify.com/show/0lFoAVKqJHTYSZNpeN61ou?si=0ae973aab0174b3b⁠Connect with the guestJon Petersen: ⁠https://www.linkedin.com/in/jon-petersen-ba623950/Connect with hostsProf. 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-07600a1⁠Recommendations from Guest: - Misbehaving: The Making of Behavioral Economics by Richard H. Thaler- Thinking, Fast and Slow by Daniel KahnemanAbout the podcastThe 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

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.Chapters0:00 - Preview0:38 - Meet Carolyn Mooney 1:38 - What is DecisionOps?3:44 - The Journey of Nextmv6:20 - Applications of DecisionOps in Various Industries8:30 - Simulation and Testing in DecisionOps12:37 - Building Trust Through Testing and User Interaction14:40 - Hierarchical Optimization and Decision Making18:21 - Ownership and Responsibilities in DecisionOps22:11 - Working on the Product With Clients31:28 - Trends in Decision-Making Technologies33:54 - Final Thoughts and ResourcesTakeaways* 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 showApple: ⁠https://podcasts.apple.com/in/podcast/the-decision-intelligence-lab/id1811085064⁠Spotify: ⁠https://open.spotify.com/show/0lFoAVKqJHTYSZNpeN61ou?si=0ae973aab0174b3b⁠Connect with guestCarolyn Mooney: ⁠https://www.linkedin.com/in/carolyn-m-mooney/Nextmv: https://www.nextmv.io/Connect with hostsProf. 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-07600a1⁠About the podcastThe 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

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.Chapters0:00 - Preview0:40 - Meet Kartik Gada1:40 - Understanding Technological Disruption & Accelerating Pace of Change4:05 - The Impact of Cost Reduction on Technology7:40 - Bottlenecks in Healthcare and Education12:30 - How Individuals Respond to Change 15:48 - Embracing Change and Entrepreneurial Mindset20:50 - Education and Career Pathways in a Changing World24:15 - Managing Economic Complexity with AI28:20 - Leadership in an Era of Rapid Change31:50 - Closing Thoughts Follow the showApple: ⁠https://podcasts.apple.com/in/podcast/the-decision-intelligence-lab/id1811085064⁠Spotify: ⁠https://open.spotify.com/show/0lFoAVKqJHTYSZNpeN61ou?si=0ae973aab0174b3b⁠Connect with guestKartik Gada: https://www.linkedin.com/in/kartikgada/Connect with hostsProf. 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 podcastThe 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

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.Chapters00:00 Introduction to Operations Research and Borja Menendez01:14 The Journey into Operations Research04:39 Real-World Applications of Operations Research07:03 Understanding Trucksters and Relay Optimization12:48 Challenges in Relay Optimization16:21 Non-Technical Aspects of Implementing OR20:15 Testing and Quality Assurance in Optimization Models25:22 User-Centric Design in Optimization Solutions27:47 Transitioning to a Paid Model for Feasible29:32 Integrating Data Science with Operations Research35:52 The Future of Operations Research and Gen.AIFollow the showApple: ⁠https://podcasts.apple.com/in/podcast/the-decision-intelligence-lab/id1811085064⁠Spotify: ⁠https://open.spotify.com/show/0lFoAVKqJHTYSZNpeN61ou?si=0ae973aab0174b3b⁠Check out Borja Menéndez's Newsletter: https://www.feasible.club/Connect with guestBorja Menéndez: ⁠https://www.linkedin.com/in/borjamenendezmoreno/Connect with hostsProf. 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-07600a1⁠About the podcastThe 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

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.Chapters00:00 - Preview1:30 - Meet Ben Alamar3:21 - The Evolution of Sports Analytics7:04 - Motion Tracking and Its Impact10:03 - Translating Sports Analytics to Business12:00 - Behavior Change and Mindset Shifts14:40 - Risk Perception in Decision Making19:16 - Fan Engagement and Business Objectives20:20 - Draft Decisions: Case Studies28:00 - Fostering Evidence-Based Culture in Sports33:43 - Advice for Aspiring Sports Analysts36:46 - Recommendations for Further Reading Book Recommendations: - "Basketball Beyond Paper" by Dean Oliver- "Ballistic" by Henry AbbottCheck out P3 Applied Sports Science: https://www.p3.md/Follow the showApple: ⁠https://podcasts.apple.com/in/podcast/the-decision-intelligence-lab/id1811085064⁠Spotify: ⁠https://open.spotify.com/show/0lFoAVKqJHTYSZNpeN61ou?si=0ae973aab0174b3b⁠Connect with guestBenjamin Alamar: ⁠https://www.linkedin.com/in/benalamar/Connect with hostsProf. 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-07600a1⁠About the podcastThe 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

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.Chapters0:00 - Preview 1:20 - Meet Peter Caccioppi1:47 - Integrating Computer Science in OR7:16 - Tidy, Tested, and Safe16:55 - The History & Utitlity of Ticdat 31:21 - GenAI's Role in OR and Software DevelopmentFollow the showApple: ⁠https://podcasts.apple.com/in/podcast/the-decision-intelligence-lab/id1811085064⁠Spotify: ⁠https://open.spotify.com/show/0lFoAVKqJHTYSZNpeN61ou?si=0ae973aab0174b3b⁠Connect with guestPeter Cacioppi: ⁠https://www.linkedin.com/in/peter-cacioppi-86519210/Connect with hostsProf. 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-07600a1⁠About the podcastThe 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

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. Chapters0:00 - Preview1:00 - Meet Zahir Balaporia2:00 - The Last Mile & Extra Mile Problems in Supply Chain 7:24 - Real-World Examples of Analytics Failures11:54 - Building Trust and Relationships in Analytics21:25 - Cultural Dynamics in Technology Adoption29:15 - The Future of Work with AI and Change ManagementFollow the showApple: ⁠https://podcasts.apple.com/in/podcast/the-decision-intelligence-lab/id1811085064⁠Spotify: ⁠https://open.spotify.com/show/0lFoAVKqJHTYSZNpeN61ou?si=0ae973aab0174b3b⁠Connect with guestZahir Balaporia: ⁠https://www.linkedin.com/in/zahirbalaporia/Connect with hostsProf. 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-07600a1⁠About the podcastThe 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

In this episode of the Decision Intelligence Lab podcast, Ganesh Ramakrishna joins our hosts Vijay & Mike to share his journey from co-founding Opex Analytics to launching Lyric. He discusses the challenges of building a software company, the importance of fundraising with scaled ambitions, and the critical role of product-market fit. Ganesh emphasizes the need for an AI-first mindset in supply chain intelligence and the responsibilities that come with venture capital. He also highlights Lyric's innovative approach to solving supply chain problems through a comprehensive platform that integrates data, algorithms, and user experience.Chapters00:00 Introduction to Ganesh Ramakrishna03:05 The Birth of Lyric: Vision and Challenges06:05 Navigating the Startup Landscape: Fundraising Insights08:59 Building a Software Company: Early Stages and Funding12:07 Achieving Product-Market Fit: Lessons Learned14:58 The Role of Venture Capital: Control and Responsibility17:58 Supply Chain Challenges: Lyric's Approach21:02 AI-First Mindset: The Future of Supply Chain IntelligenceFollow the showApple: ⁠https://podcasts.apple.com/in/podcast/the-decision-intelligence-lab/id1811085064⁠Spotify: ⁠https://open.spotify.com/show/0lFoAVKqJHTYSZNpeN61ou?si=0ae973aab0174b3b⁠Connect with guestGanesh Ramakrishna: ⁠https://www.linkedin.com/in/ganeshatalk/Connect with hostsProf. 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-07600a1⁠About the podcastThe 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

In this podcast episode, Michael Watson & Vijay Mehrotra interviews Harley Davis, Founder and CEO of Athena Decision Systems. They discuss the rise of generative AI and its integration with business rules, emphasizing the importance of reliable decision-making in mission-critical applications. Harley explains the limitations of LLMs, referring to them as 'stochastic parrots,' and highlights the challenges of scaling these technologies while ensuring privacy and compliance. The conversation also covers the role of RAG in enhancing LLM performance and shares real-world use cases where AI can improve administrative processes.Chapters0:00 - Introduction & Preview 1:19 - Meet Harley Davis & Athena Decision Systems4:30 - Business Rules in Mission-Critical Applications9:23 - Understanding LLMs and Their Limitations12:05 - Integrating LLMs with Business Rules14:12 - Challenges in Scaling LLMs and Privacy Concerns17:34 - The Role of RAG in Enhancing LLM Performance20:15 - Deploying LLMs in Real-World Applications24:24 - Improving Administrative Processes with AI27:10 - Final Thoughts and RecommendationsFollow the showApple: ⁠https://podcasts.apple.com/in/podcast/the-decision-intelligence-lab/id1811085064⁠Spotify: ⁠https://open.spotify.com/show/0lFoAVKqJHTYSZNpeN61ou?si=0ae973aab0174b3b⁠Connect with guestHarley Davis: ⁠https://www.linkedin.com/in/harleydavis/Athena Decision Systems: https://athenadecisions.com/Connect with hostsProf. 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-07600a1⁠About the podcastThe 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

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.Timestamps0:00 - Preview & Introduction3:20 - Definition & Importance of Resiliency 5:38 - The Need for Big Thinking in the Field6:45 - Significance of case studies in bridging academia and industry needs9:00 - Rethinking educational approaches in light of GenAI advancements11:23 - The Threat of Irrelevance for Industrial & Systems Engineering12:55 - Challenges of Teaching with GenAI13:55 - Lessons from COVID-19: Supply Chain Resiliency16:32 - AI in Decision-Making and Governance18:15 - Identifying and managing trade-offs21:24 - Barriers to Impact in Data Science and OR Fields23:45 - Cybersecurity as an Opportunity for Industrial and Systems Engineering & Operational Research26:10 - The 'Equifax Breach Story' 29:10 - Laura Albert’s blogFollow the showApple: ⁠⁠https://podcasts.apple.com/in/podcast/the-decision-intelligence-lab/id1811085064⁠⁠Spotify: ⁠⁠https://open.spotify.com/show/0lFoAVKqJHTYSZNpeN61ou?si=0ae973aab0174b3b⁠⁠Connect with guestLaura Albert: https://www.linkedin.com/in/lauraalbertphdLaura's Blog: https://punkrockor.com/Connect with hostsProf. 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-07600a1⁠⁠About the podcastThe 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.comKeywords: 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

In this episode’ of the Decision Intelligence Lab podcast we have Doug Gray, Director of Data Science at Walmart Global Tech and co-author of Why Data Science Project Fail. Whether you are a business leader trying to capture value from your analytic investments, a practicing data scientist, or a student in a technical field aspiring to bring your skills to solve real world problems, this episode will provide you with valuable insights, examples, suggestions, and inspiration.Chapters0:00 - Preview, & Introductions2:30 - Birth of Why Data Science Projects Fail?4:36 - Top 5 People-Related Factors in Data Science Project Failure13:00 - Cost and Complexity Beyond the Model20:34 - Business User Resistance to “Black Box” Models26:17 - Doug’s Estimate of an Optimal Failure Rate31:20 - Organizational Maturity and Its Impact on Success36:50 - Doug's Recommendations Follow the showApple: ⁠https://podcasts.apple.com/in/podcast/the-decision-intelligence-lab/id1811085064⁠Spotify: ⁠https://open.spotify.com/show/0lFoAVKqJHTYSZNpeN61ou?si=0ae973aab0174b3b⁠Connect with guestDoug Gray: https://www.linkedin.com/in/doug-gray-06bb4a4/Books: 1. Why Data Science Projects Fail2:  The Art of Data Science: A Practitioner's GuideConnect with hostsProf. 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-07600a1⁠Additional Notes:BOOK: All in on AIARTICLE:  "$100 of Implementation for $1 of modeling"About the podcastThe 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.comKeywordsProject failure, analytics, organizational maturity, change management, Doug Gray, decision science, business value, success rates, data science projects, AI implementation, analytics failure rates, organizational maturity, change management, communication challenges, project management, unrealistic expectations, technology focus, business value, key performance indicators (KPIs), stakeholder engagement, decision intelligence, model deployment, production systems, data pipelines, integration challenges, testing and validation, airline operations research, supply chain optimization, cost avoidance, AI adoption in business, center of excellence, subject matter experts, user interface design, interactive optimization, prompt engineering, business process alignment, success rates in analytics, learning from failure

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. Chapters00:00 - Preview, & Introductions02:20 - The Princeton Twenty Framework Overview3:24 - How the Princeton Twenty Is Used In Practice7:10 - Client Perspectives on Risk Management8:27 - Overselling in Optimization and AI Projects11:11 - Understanding the Decision Scope (Environmental Factor 5)16:43 - Exploring Value Proposition (Environmental Factor 7)21:45 - Process Maturity (Technical Factor 10) and Ongoing Maintenance25:00 - Last Mile Problems in Decision Making30:33 - Broader Impact & Risk Tolerance 35:35 - Irv's RecommendationsFollow the showApple: https://podcasts.apple.com/in/podcast/the-decision-intelligence-lab/id1811085064Spotify: https://open.spotify.com/show/0lFoAVKqJHTYSZNpeN61ou?si=0ae973aab0174b3bConnect with guestIrv Lustig: https://www.linkedin.com/in/irv-lustig/Princeton 20: https://princetonoptimization.com/ai-project-management/Connect with hostsProf. 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-07600a1About the podcastThe 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.comKeywordsPrinceton 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.

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. You can connect with us at  decisionintelligencepodcast@gmail.com

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