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
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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
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
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
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
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
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
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
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
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.
Chapters
00:00 Introduction to Ganesh Ramakrishna
03:05 The Birth of Lyric: Vision and Challenges
06:05 Navigating the Startup Landscape: Fundraising Insights
08:59 Building a Software Company: Early Stages and Funding
12:07 Achieving Product-Market Fit: Lessons Learned
14:58 The Role of Venture Capital: Control and Responsibility
17:58 Supply Chain Challenges: Lyric's Approach
21:02 AI-First Mindset: The Future of Supply Chain Intelligence
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
Ganesh Ramakrishna: https://www.linkedin.com/in/ganeshatalk/
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
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.
Chapters
0:00 - Introduction & Preview
1:19 - Meet Harley Davis & Athena Decision Systems
4:30 - Business Rules in Mission-Critical Applications
9:23 - Understanding LLMs and Their Limitations
12:05 - Integrating LLMs with Business Rules
14:12 - Challenges in Scaling LLMs and Privacy Concerns
17:34 - The Role of RAG in Enhancing LLM Performance
20:15 - Deploying LLMs in Real-World Applications
24:24 - Improving Administrative Processes with AI
27:10 - Final Thoughts and 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
Harley Davis: https://www.linkedin.com/in/harleydavis/
Athena Decision Systems: https://athenadecisions.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 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.
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 decisionintelligencepodcast@gmail.com
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
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.
Chapters
0:00 - Preview, & Introductions
2:30 - Birth of Why Data Science Projects Fail?
4:36 - Top 5 People-Related Factors in Data Science Project Failure
13:00 - Cost and Complexity Beyond the Model
20:34 - Business User Resistance to “Black Box” Models
26:17 - Doug’s Estimate of an Optimal Failure Rate
31:20 - Organizational Maturity and Its Impact on Success
36:50 - Doug'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
Doug 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 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
Additional Notes:
BOOK: All in on AI
ARTICLE: "$100 of Implementation for $1 of modeling"
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
Keywords
Project 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.
Chapters
00:00 - Preview, & Introductions
02:20 - The Princeton Twenty Framework Overview
3:24 - How the Princeton Twenty Is Used In Practice
7:10 - Client Perspectives on Risk Management
8:27 - Overselling in Optimization and AI Projects
11:11 - Understanding the Decision Scope (Environmental Factor 5)
16:43 - Exploring Value Proposition (Environmental Factor 7)
21:45 - Process Maturity (Technical Factor 10) and Ongoing Maintenance
25:00 - Last Mile Problems in Decision Making
30:33 - Broader Impact & Risk Tolerance
35:35 - Irv'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
Irv Lustig: https://www.linkedin.com/in/irv-lustig/
Princeton 20: https://princetonoptimization.com/ai-project-management/
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
Keywords
Princeton 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