All Episodes

Turning Governance Into the “Yes” Guys

Building Trust for Transformation in Enterprise AI

Engineering the Future of Health with AI and Data

The Rise of the Self-Driving Organization

The Cultural Shifts That Power AI Adoption

The AI Race: Predictions for AI in National Security & the Public Sector

The Future of Enterprise AI? AI in Production!

The Silent Future of AI in Financial Services

Pharma Is the New Tech: The Future of AI in Life Sciences

AI Predictions for 2025: The Boogeyman, Agentic AI & Governance

Realizing AI Value Through Governance in Insurance

Mastering AI Governance with Forrester & the Federal Reserve

Crossover: Ethical Machines and AI Governance

AI Transformation in Government: Lessons from Unit X

The EU AI Act: Key Strategies for Regulatory Compliance

AI Governance in Action: Lessons from the Trenches

Demystifying the Top 5 Questions of AI Governance

Operationalizing privacy in the age of AI

Optimizing Your Architecture for AI Innovation: BARC Survey Results

Driving Digital Strategy with AI at OneAmerica

AI-driven Marketing, Optimization, Consciousness and CAIOs

Trust and faster AI time to value in manufacturing at IFF

How to Make Responsible AI Happen: A Historical View

Efficient Data Pipelines for AI and a Healthier World

Enabling AI on Enormous Financial Datasets at FINRA

Developing a Strategy for AI Transformation at Zendesk

Surviving and Thriving as an AI Leader in a GenAI World

Unlocking the Disruptive Potential of Generative AI: A VC Perspective

Overcoming the Data Challenges of AI-driven Drug Discovery

AI Will Plan Your Next Vacation: GenAI at Tripadvisor

From the Archive: A Hybrid Approach to Accelerating the Model Lifecycle

Unlocking AI in the Public Sector

Disrupting Drug Discovery and Development With AI

Mastering the Rare Art of ML Deployment

Shattering the Myths of GenAI: Interview with Forrester Analyst Rowan Curran

More Human Than Human? GenAI Customer Service at Bolt

AI in 2024: Predictions on the Future of the AI Revolution

The State and Future of Generative AI: Reflections on the Anniversary of ChatGPT with Anaconda CEO Peter Wang

CDOs: Changing the Operating Model for Data & AI Transformation

Transforming Education with Generative AI and Active Learning

“Lessons from the First GenAI Killer App"

Honeywell: Delivering on the Power of Outlier Detection

Making Better Sustainability Decisions with AI

Celebrity Guest Gregory Zuckerman: Trusting AI to Make the Decisions

Solving the AI Talent Gap: Upskilling at Scale at Halliburton

The AI Innovator’s Dilemma: Insights from Harvard’s D^3 Institute

Get the Most Out of Generative AI

Celebrity Guest Reid Blackman: Who’s Responsible for Responsible AI?

Output to Outcomes: AI Product Management at Verizon

Celebrity Guest Steven Levy: AI, a mirror to human intelligence

Season 2: Host to Host

What It Takes to Productize Next-Gen AI on a Global Scale (Srujana Kaddevarmuth, Senior Director of Data & Machine Learning Programs, Walmar

Help Me Help You: Forging Productive Partnerships with Business Stakeholders (Sunil Kumar Vuppala, Director of Global Artificial Intelligenc

Change Management Strategies for Data & Analytics Transformations (Michal Levitzky Head of Data & Analytics - CDO, Migdal Group)

A Hybrid Approach to Accelerating the Model Lifecycle (David Von Dollen, Head of AI, Volkswagen of America)

Giving Back and Building Your Brand as a Data Science Leader (Sidney Madison Prescott, Global Head of Intelligent Automation - RPA, AI, ML,

Governing Models and Structuring Teams in Highly Regulated Industries (Anju Gupta, VP Data Science & Analytics, Northwestern Mutual)

How to Operationalize, Scale, and Measure AI in Life Sciences (Sidd Bhattacharya, Director of Healthcare Analytics & AI, PwC)

Getting to Ground Truth with Strategies from ML in Electronics Manufacturing (Alon Malki, Senior Director of Data Science, NI)

Elevating Your Team as Strategic Business Partners (Indy Mondal, Senior Director of Data Science, AI & Product Insights, DocuSign)

A Journey Through the Data Science & Analytics Value Chain (Nancy Hersh, Chief Data Officer, Arcadia)

Decoding Human Behavior and Well-Being through Data Science (Takuya Kitagawa, Chief Data Officer & Managing Executive Officer, Rakuten Group

Motivating Teams and Combating Bias in Healthcare Data Science (Vikram Bandugula, Senior Director of Data Science, Anthem)

Data in the DNA: Breaking Down the Autonomous Enterprise (Janet George, Enterprise AI Leader & Author)

Embedding Responsible AI in Your Models and Your Team (Anand Rao, Global Artificial Intelligence Lead, PwC)

Supply Chain Solutions & the Role of the ML Engineer (Karin Chu, VP Data Science & Digital Analytics, Peapod Digital Labs)

Legal Analytics: Winning Business, Winning Cases, and Winning Over Your General Counsel (Peter Geovanes, Head of Data Strategy, AI & Analyti

Empowering Big Teams to Take on Even Bigger ML Challenges (Jan Neumann, Executive Director, Machine Learning, Comcast)

Change Management: Winning Over AI Skeptics in Banking & Beyond (Chun Schiros, SVP, Head of Enterprise Data Science Group, Regions Bank)

To Patent or Not to Patent? How to Weigh the Options for Your Team (Kli Pappas, Associate Director of Global Analytics, Colgate-Palmolive)

How a Centralized Data Science “Nerve Center” Can Power Global Impact (Tim Suhling, VP Global Business Intelligence, Ingram Micro)

Scaling Data Science Value with Cross-Functional Teams (Jayesh Govindarajan, SVP Data Science & Engineering, Salesforce)

Modernizing Healthcare Through Data Science and Digital Transformation (Kaushik Raha, VP Data Science & Health Content Operations, Elsevier)

How Data Science Teams Are Going Deeper with Proof of Value (Nimit Jain, Head of Data Science, Novartis)

Why It Pays to Stand Out From the Crowd in Data Science (Bob Bress, Head of Data Science, FreeWheel)

Tracking Business Value with Data Science Portfolio Management (Katya Hall, Director of Enterprise Analytics, McKesson)

How to Launch a Data Science Team Built for Scale (Mike Foley, Senior Director of Data Science, Hitachi Vantara)

Exploring the Future of Data: Regulations & Managing Analytics Teams (John Thompson, Global Head of Advanced Analytics & AI, CSL Behring)

Data Challenges and the Promising Role of Product Analytics in Healthcare

People Analytics: Data Science, Ethics, and Opportunity in HR (Adam McElhinney, Chief Data Science Officer, VP of Data Insights, Paylocity)

Lessons from Building a 2,700-Person Analytics Team (Dave Frankenfield, VP Enterprise Data & Analytics, Optum)

Oncology Analytics & Delivering Insights from Messy Data (Susan Hoang, VP Oncology Analytics, McKesson)

How Computer Science & Statistics Fundamentals Can Advance Data Science in 2021 (Chris Volinsky, AVP Data Science & AI Research, AT&T)

Getting Started with Deep Learning in the Enterprise (Eitan Anzenberg, Chief Data Scientist, Bill.com)

Communication in Data Science: Know the Data & Know the Business (Gaia Bellone, SVP - Head of Data Science at KeyBank)

The Right and Wrong Place for the Citizen Data Scientist (Romain Ramora, Head of Data Science & Innovation - Supply Chain at Cisco)

What Happens When You Bring Data Science and Data Engineering Under One Roof (Mark Teflian, VP, Data Science & Data Engineering, Charter Com

How to Answer the #1 Question in Enterprise Data Science: “So What?” (Khatereh Khodavirdi, Global Head of Analytics & Data Science - Global

The Past, Present, and Fascinating Future of Data Science (Mike Tamir, Chief ML Scientist and Head of Machine Learning/AI, SIG)

Industry 4.0: Data Science in Manufacturing (Paul Turner, VP Industry 4.0 Applications & Analytics, Stanley Black & Decker)

The 3 Biggest Jobs of Any Chief Data Officer (Heidi Lanford, Chief Data Officer, Fitch Group)

Navigating Data Constraints in the Highly-Regulated Healthcare Industry (Derrick Higgins, Head of Enterprise Data Science & AI, Blue Cross a

Bioinformatics and the Unprecedented COVID-19 Vaccine Race (Fiona Hyland, Director of R&D, Informatics, Thermo Fisher Scientific)

Bridging the Gap Between Data Science and Business Outcomes

Challenges and Opportunities in Operationalizing Data Science

How to Be a Truth-Seeking, Truth-Telling Partner in Data Science

How to Use AI Reliability to Identify and Predict Model Decay

More than Models: Building a Culture of Data Literacy and Data Ethics

An Introduction to Data Science Leaders, a Podcast for Daring Data Science Teams