
Hosted by CDO Magazine · EN
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.

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.

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.

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.

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.

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.

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.

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

In the final part of this three-part CDO Magazine series, Karthik Yajurvedi, Chief Data Officer for the Commonwealth of Massachusetts, joins Deloitte’s Adita Karkera for a conversation on what it really takes to operationalize data sharing across government agencies.The discussion explores governance without bottlenecks, building trust across silos, context-based data quality in the age of AI, and why modern CDOs must increasingly operate as strategic business leaders rather than purely technical executives.Listen now.

How do enterprises build AI systems that employees actually trust?In Part 2 of this three-part conversation, former Qlik CEO Mike Capone joins Deloitte’s Dr. Adita Karkera to explore responsible AI deployment, AI literacy, transparency, and the cultural changes required to scale AI successfully.The discussion covers:Why trust determines AI adoptionThe evolution from data literacy to AI literacyGovernance beyond policies and councilsTransparency during workforce transformationWhy critical thinking still matters in the AI eraListen now on the CDO Magazine Podcast.

What changes when AI agents, not just humans, become consumers of enterprise data?In this conversation, Monte Carlo CEO Barr Moses joins CDO Magazine Editorial Board Member Justin Heller to break down:• The shift to agent-first data trust• Why AI governance is becoming more complex• The risks of poorly governed AI agents• Why enterprises cannot delay AI experimentation waiting for “perfect” dataPart 1 of a three-part series exploring the future of enterprise AI, governance, and trusted data.