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 [email protected] 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

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