In Part 1 of this three-part series, Apurva Wadodkar, Senior Director and Head of Data and AI at TI Automotive, shares a practical starter kit for building an AI practice from the ground up.

She discusses the Five-E framework, the importance of education and prioritization, and why a unified chatbot strategy can accelerate productivity and adoption across the enterprise.

In conversation with Merav Yuravlivker, Chief Learning Officer at Data Society.

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AI is pushing organizations to move faster. But many are still missing the foundations.

In this episode, a Fortune 500 data governance and responsible AI leader explains why the current AI moment is less about new models and more about disciplined data strategy. The conversation explores governance maturity, executive pressure to become AI-enabled, and why monitoring and metadata are becoming essential infrastructure.

In conversation with Peter Geovanes.

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Healthcare is moving beyond AI experimentation and into operational scale.

In this episode, Parminder Bhatia, Chief AI Officer at GE HealthCare, joins Cindi Howson of ThoughtSpot, to discuss how agentic AI is transforming hospital workflows, radiology backlogs, maternal care coordination, and clinical decision-making.

With more than 115 FDA-authorized AI-enabled devices, GE HealthCare offers a real-world perspective on:

🔹Orchestrating complex healthcare systems with AI

🔹Implementing layered guardrails and human oversight

🔹Balancing innovation with regulatory responsibility

🔹Building patient trust through measurable outcomes

The future of healthcare AI isn’t unchecked automation. It’s progressive autonomy with accountability.

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In the final episode of this three-part series, Justin Marsico, Assistant Commissioner for Fraud Prevention and Financial Integrity at the U.S. Department of the Treasury’s Bureau of the Fiscal Service, shares how the Chief Data Officer role has transformed from a compliance-centered function into a mission-critical operational leader.

He discusses the creation of the Fiscal Data Hub, the push toward enterprise-wide automated data cataloging, and why simplifying governance requires tight coordination between the CIO, CDO, and CFO.

For federal agencies and large enterprises alike, this episode offers a blueprint for aligning governance with fraud prevention at scale.

In conversation with Carly Mitchell of Guidehouse.

AI models are evolving rapidly but enterprise advantage is built elsewhere.

In this episode of the CDO Magazine Podcast, Fortune 100 enterprise CTO and transformation leader Jyoti Chawla joins Karen Odegaard of Guidehouse to unpack why data foundations, governance, and operating models — not AI models — determine whether organizations can scale AI responsibly and effectively.

Drawing on decades of leading large-scale modernization efforts across IBM, Deutsche Bank, and Cisco, Chawla discusses managing AI risk, preparing for agentic AI, and building operating models that align innovation with measurable business outcomes.

A must-listen for CDOs, CTOs, and AI leaders navigating AI at scale.

What does it take to lead enterprise data transformation in an AI-driven world?

In this episode, Jo O’Hazo, Chief Data Officer at Advantage Solutions, reflects on her journey as a data leader and what it means to be an enterprise data guru. She discusses the importance of strong data foundations, earning trust across the business, and why AI adoption must feel natural to scale effectively.

This conversation with Informatica’s Nathan Turajski closes a three-part series exploring people-led data transformation, measurable impact, and the leadership mindset required to sustain change.

Johnson & Johnson (J&J) Global Services sits at the center of how J&J scales enterprise operations, enabling employees and end-to-end processes through a service model designed to create value, improve experiences, and deliver measurable impact. As enterprise AI moves from experimentation to execution, J&J Global Services plays a critical role in translating emerging technologies into trusted, scalable capabilities for a highly regulated, global workforce.

Preventing fraud at scale is not a policy exercise. It’s a data and systems challenge.

In Part 2 of this three-part series, Justin Marsico, Assistant Commissioner for Fraud Prevention and Financial Integrity at the U.S. Department of the Treasury, joins Carly Mitchell of Guidehouse to discuss how Treasury uses data and analytics to verify over a billion payments each year.

Marsico shares how payment verification works in practice, how analytics are introduced into live payment systems with zero tolerance for error, and what agencies and states should consider as they strengthen fraud and improper payment controls.

Listen to Part 1 of the series.

Read the full interview on CDO Magazine.