CDO Magazine Podcast Series

Hosted by CDO Magazine

TechnologyInterviews guests

Website RSS feed

Episodes

787

Latest episode

Jun 2026

Language

EN-US

About the show

The CDO Magazine Podcast Series is a one-of-a-kind series of data-world debates conducted by and for CDOs. The podcast series covers a wide range of topics, including machine learning, artificial intelligence, data technology, the Internet of Things, and robotics. Podcasts range from mini episodes covering high-level themes to longer, in-depth interviews with practicing data professionals and leaders. No matter where you are in your data science career, staying up to date on the latest in data and how it is gaining significant attention is always a good idea. To remain up to date, subscribe to the CDO Magazine Podcast Series.

Listen to episodes

60 recent

June 15, 202614 min

Shifting to Proactive Intelligence: Regeneron’s Ashutosh Katiyar on Commercial Analytics

The best analytics teams do more than explain the past. They help shape the future.What happens when commercial analytics shifts from reporting historical performance to enabling proactive decisions? In this conversation with Subrato Chatterjee, Global Growth Partner for Life Sciences at Tiger Analytics, Ashutosh Katiyar, Executive Director, Commercial Strategy, Insights & Analytics at Regeneron, shares how organizations can build intelligence capabilities that identify signals early, support scenario planning, and create stronger connections between analytics and patient outcomes.

June 10, 202612 min

The AI Trust Playbook: Monte Carlo's Barr Moses on Governing Autonomous Agents and Upskilling the Enterprise

AI can automate workflows. It can also amplify risk if trust and governance fall behind.In the last episode of the interview series with CDO Magazine Editorial Board Member Justin Heller, Monte Carlo CEO Barr Moses explains why data quality, workforce readiness, and AI governance will determine which enterprises lead the next phase of transformation.

June 8, 202611 min

Procter & Gamble VP Jeff Goldman on Driving Algorithmic Superiority and Mitigating Model Risk

How does Procter & Gamble scale AI safely while maintaining a competitive edge? Enterprise AI VP Jeff Goldman shares how the company manages model risk and drives continuous algorithmic innovation.

June 5, 20268 min

Enstar Group CDO David Tuppen on Why Data Foundations, Not AI Tools, Determine Success at Scale

AI tools are becoming commoditized. Data foundations are not.Enstar Group CDO David Tuppen explains why governance, automation, and trusted data matter more than the next AI platform.

May 28, 202614 min

PODCAST | P&G’s Jeff Goldman on AI Fluency, Enterprise Adoption, and Measuring AI Impact

In Part 2 of this three-part conversation, Jeff Goldman, VP, Enterprise Data Science at Procter & Gamble, joins Donna Medeiros of Data Society Group to discuss what it really takes to scale AI across a global enterprise.Goldman explains how P&G built long-term AI fluency programs, launched internal generative AI tools like ChatPG, and trained more than 20,000 employees through its decentralized Formula AI initiative.The conversation also explores:Why business sponsorship drives AI prioritizationThe measurement challenge behind scaling AIWhat separates scalable AI initiatives from stalled pilotsHow AI is reshaping teamwork and innovationListen now.

May 28, 20268 min

PODCAST | Monte Carlo CEO on Why Trusted Data Is Becoming the Foundation of Autonomous AI

As AI agents move deeper into enterprise workflows, organizations are confronting difficult questions around autonomy, oversight, security, and trust.In Part 2 of this three-part conversation, Monte Carlo CEO Barr Moses joins data leader Justin Heller to examine:The priorities dominating CDO agendas todayWhy AI-ready data foundations matter more than everHow AI agents are accelerating data operationsWhere human intervention still plays a critical roleWhy security and reliability continue to make or break enterprise AI initiativesA practical discussion on what responsible AI deployment actually looks like at enterprise scale.

May 26, 20268 min

PODCAST | Enstar Group CDO on Why AI Adoption Fails Without Business-Owned Data Foundations

In this episode, Enstar Group Chief Data Officer David Tuppen discusses the realities of enterprise modernization inside highly regulated environments and why AI success still depends on trusted data foundations.Topics include:Simplifying complex data estatesGovernance and privacy by designWhy AI exposes poor data qualityReducing manual processes and Excel dependencyThe evolving mandate of the CDOWhy business ownership is critical for adoptionIn conversation with Robert Lutton, Vice President at Sandhill Consultants.

May 22, 20269 min

PODCAST | Qlik + Deloitte on the Next Five Years of AI: Why Durable Enterprise AI Will Win

Former Qlik CEO Mike Capone joins Deloitte’s Dr. Adita Karkera for the final part of our three-part series on the future of enterprise AI.The conversation explores:• Agentic AI use cases delivering value today• Board-level AI leadership expectations• Why trusted partnerships matter more than ever• How Qlik + Deloitte view the next five years of AI transformationListen now.

May 21, 202610 min

PODCAST | How P&G Is Scaling Enterprise AI Without Losing Local Business Context

What does it actually take to scale AI inside a global enterprise?In this episode, Donna Medeiros, Vice President of AI and Data Advisory at Data Society Group, speaks with Jeff Goldman, Vice President, Enterprise Data Science at Procter & Gamble, about how P&G operationalizes AI through a combination of data science, AI engineering, and its AI Factory model.The conversation covers:• Enterprise AI operating models• Scaling AI across global markets• Embedding AI teams into the business• Why infrastructure and engineering determine AI success• How P&G measures business value from AI investmentsFirst part of a three-part series.

May 19, 20266 min

PODCAST | How Health Plans Can Balance AI Innovation, Governance, and Patient Outcomes

As healthcare organizations race to operationalize AI, leaders must balance innovation with governance, interoperability, and patient outcomes.In this episode, former L.A. Care Health Plan CIO Tom MacDougall speaks with Robert Lutton of Sandhill Consultants about responsible AI adoption in healthcare, why organizations are still in the early stages of operational AI maturity, and how trusted, standardized data will define the next phase of healthcare transformation.The discussion also explores:• AI governance in regulated environments• Real-world healthcare analytics use cases• Provider benchmarking and care optimization• The role of interoperability and data lineage in scaling healthcare AI