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PODCAST

CDO Magazine Podcast Series

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

technology

All Episodes

5:43

PODCAST | Massachusetts CDO Karthik Yajurvedi on...

CDO Magazine Podcast Series ·

2026/05/19

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

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10:42

PODCAST | What Enterprises Get Wrong About Trusted...

CDO Magazine Podcast Series ·

2026/05/15

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

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14:39

PODCAST | How Enterprises Can Prepare Data for AI...

CDO Magazine Podcast Series ·

2026/05/13

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.

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7:43

PODCAST | USAWHC CDO Deepak Shah on Scaling AI...

CDO Magazine Podcast Series ·

2026/05/12

What separates isolated AI success from scalable enterprise capability?In this episode, Deepak Shah, Chief Data Officer at the U.S. Army Western Hemisphere Command, discusses why operational discipline, governance, and trusted data foundations are becoming essential for enterprise AI scale.The conversation examines:• Why frameworks, playbooks, and runbooks matter• How trust in AI depends on traceability and accountability• The risks of relying on “heroics” instead of repeatable systems• What real

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9:10

PODCAST | Insights from L.A. Care Health Plan on...

CDO Magazine Podcast Series ·

2026/05/11

What does responsible AI actually look like inside a healthcare payer organization?In this podcast episode, former L.A. Care Health Plan CIO & CTO Tom MacDougall discusses how healthcare organizations are rethinking data strategy as rising costs, regulatory pressure, and real-time care demands reshape the industry.Key discussion points include:• Why healthcare payers are moving beyond claims-driven data models• How interoperability is bringing data closer to the point of care• Building

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8:49

PODCAST | AI Automation Depends on Trusted Data...

CDO Magazine Podcast Series ·

2026/05/08

What actually determines whether enterprise AI succeeds?According to former Qlik CEO Mike Capone, it’s no longer the models.It’s the harder work underneath:🔹Trusted data foundations🔹Governance and lineage🔹System alignment🔹Operational trust🔹Decision intelligence at scaleIn conversation with Dr. Adita Karkera of Deloitte, Capone explains why organizations moving toward automation and agentic AI must rethink how they operationalize trust across enterprise systems.The discussion also explores:• Why

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5:25

PODCAST | How Massachusetts Enables Secure Data...

CDO Magazine Podcast Series ·

2026/05/08

In Part 2 of this series, Massachusetts CDO Karthik Yajurvedi breaks down what it actually takes to make data sharing work across government agencies.From early childhood systems to workforce programs, the conversation explores how secure, trusted data sharing enables real outcomes for citizens.Key themes include:🔷 Why fragmented data limits policy decisions🔷 The role of trust, privacy, and compliance🔷 How modern platforms and agreements enable collaboration🔷 What production use cases look like

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10:17

PODCAST | How Fugro Is Solving the Alignment Problem...

CDO Magazine Podcast Series ·

2026/05/06

Most organizations are not short on data or technology. They are short on alignment.In this episode, Vincent Brown, Regional Head of IT for the Americas at Fugro, joins Michael Sutter, CEO of Enlivened Tech, to unpack why transformation efforts fail when foundational steps are skipped.Brown introduces the “Swiss cheese model” of misalignment and explains how gaps in awareness, ownership, and accountability derail outcomes.You’ll learn:🔹Why awareness must come before execution🔹How to define and

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11:12

PODCAST | USAWHC CDO: The Discipline Behind Data...

CDO Magazine Podcast Series ·

2026/05/05

Most data initiatives don’t fail during execution. They fail at the start.In this episode, Deepak Shah, Chief Data Officer at the U.S. Army Western Hemisphere Command, breaks down what it takes to build enterprise data initiatives that scale and endure.🔹Why most data initiatives fail before execution and how to fix the starting point🔹Using vision, mission, and goals as execution discipline🔹What “solve and scale” actually requires: structured intake, prioritization, and governance🔹Why trust, not

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14:56

PODCAST | AI in Oncology Is Fragmenting: City of Hope...

CDO Magazine Podcast Series ·

2026/04/29

AI in healthcare is scaling fast. Coordination is not.In this final part of a three-part series, Nasim Eftekhari, Chief AI and Analytics Officer at City of Hope, joins Erik Pupo of Guidehouse to examine what it takes to orchestrate AI at scale in oncology.Key takeaways:• Why agent orchestration is the next enterprise AI challenge• What happens when AI agents don’t communicate• How multimodal AI expands clinical intelligence• The data foundation still missing in healthcare• What defines scalable AI

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6:02

PODCAST | Public vs Private Sector Data Leadership...

CDO Magazine Podcast Series ·

2026/04/28

In Part 1 of this three-part series, the Chief Data Officer for the Commonwealth of Massachusetts discusses the foundations of public-sector data leadership. The interview explores how the role is structured, the similarities and differences between public and private sector data leadership, and the importance of storytelling in driving alignment and trust.In conversation with Adita Karkera, Chief Data Officer for Deloitte’s Government and Public Services.

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14:49

PODCAST | How Henkel Scales Data with Governance and...

CDO Magazine Podcast Series ·

2026/04/23

Scaling data and AI is not just a technical challenge. It is a series of decisions that shape how fast you move, how much control you retain, and whether your strategy holds up over time.In this episode, Katrin Botzen, Corporate Director, Global Data and Analytics at Henkel, breaks down what the company got wrong in its early data and AI journey, and how those lessons now guide its approach.The conversation with Julian Schirmer of OAO, focuses on practical, enterprise realities, from embedding

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12:29

PODCAST | Why Most AI Efforts Stall at Scale and What...

CDO Magazine Podcast Series ·

2026/04/22

Most organizations are still stuck in AI pilots. A few are scaling.What’s the difference?In this episode, Truist’s Sanjay Sankolli breaks down the operating model shifts required to move from isolated AI success to enterprise-wide impact.You’ll hear:🔷Why governance should act as a guardrail, not a gate🔷How decision latency quietly slows innovation🔷What it means to move from AI tools to AI as an operating capability🔷Why data, trust, and alignment matter more than the number of AI modelsThis is

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13:18

PODCAST | How to Scale Oncology AI Safely: AI...

CDO Magazine Podcast Series ·

2026/04/21

How to Scale Oncology AI Safely: AI Governance Lessons from Hope LLMAs AI adoption accelerates in healthcare, the real challenge is no longer proving value. It’s scaling responsibly.In this episode, Nasim Eftekhari, Chief AI and Analytics Officer at City of Hope, joins Erik Pupo of Guidehouse to unpack how Hope LLM is transforming oncology workflows across care, clinical trials, and research.Key themes:🔹Turning fragmented oncology data into real-time clinical insight🔹Reducing clinician burden and

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12:24

PODCAST | AI Evaluation Without Direction Is a Waste:...

CDO Magazine Podcast Series ·

2026/04/15

AI adoption isn’t just about building models — it’s about building confidence across the enterprise.In Part 3 of this four-part series, Truist’s Sanjay Sankolli joins NayaOne CEO Karan Jain to explore how organizations can move faster on AI without compromising governance or risk.This episode covers:🔷Why governance should act as a guardrail, not a bottleneck🔷How to focus AI efforts using value stream mapping🔷What “production-ready” AI really means in regulated environments🔷Why pre-mortems are

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15:52

PODCAST | Data Products at Scale: How Henkel Aligns...

CDO Magazine Podcast Series ·

2026/04/14

In this episode, Katrin Botzen, Corporate Director, Global Data and Analytics at Henkel, breaks down how data products are being operationalized inside a global enterprise.As analytics moves closer to where data is created, organizations must rethink ownership, governance, and alignment across distributed teams.Botzen shares practical insights on:🔷Building data products aligned to domains🔷Embedding governance through contracts and transparency🔷Avoiding duplication through discoverability and

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10:32

PODCAST | Truist AI Leader on Why Efficiency Is the...

CDO Magazine Podcast Series ·

2026/04/09

In this episode, Sanjay Sankolli, Chief Architect for AI and Data at Truist Financial Corporation, explains where AI is delivering real, measurable impact today inside a large, regulated enterprise.Moving beyond the hype around autonomous AI, Sankolli highlights how organizations are seeing gains through decision augmentation, workflow acceleration, and improved developer productivity.Key topics include:🔹Why augmentation is outperforming automation today🔹How agentic workflows are evolving beyond

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8:47

PODCAST | Rethinking AI Success in Oncology: Lessons...

CDO Magazine Podcast Series ·

2026/04/08

AI in oncology is often discussed in terms of breakthroughs. But inside leading cancer centers, the focus is much more practical: what works, for whom, and how do you measure success?In this first episode of a four-part series, Nasim Eftekhari, Chief AI and Analytics Officer at City of Hope, joins Erik Pupo of Guidehouse to examine how oncology AI is evaluated in real-world settings.Eftekhari outlines why performance metrics take priority over financial return, why FDA-approved solutions still

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15:21

PODCAST | Inside the Real Work of AI Adoption with...

CDO Magazine Podcast Series ·

2026/04/07

In the final part of this three-part series, Edgar Gallo, Chief Data Officer at Daimler Truck North America, shifts the conversation from AI use cases to what it actually takes to scale AI inside an enterprise.The discussion explores the human and operational realities of AI adoption, including how leaders build trust, design ownership into the process, and create safe environments for responsible use.In conversation with Susan Wilson of Alation, Gallo also shares why adoption matters more than

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19:28

PODCAST | What Does it Take to Make AI Work Inside a...

CDO Magazine Podcast Series ·

2026/04/07

In this episode, Katrin Botzen, Corporate Director of Global Data and Analytics at Henkel, shares how the company applies AI across R&D, supply chain, and finance to solve real business problems.The discussion explores:🔷Why starting with business problems is critical for AI success🔷How fragmented data limits decision-making🔷The role of data architecture and governance in scaling AI🔷Real-world use cases, from R&D optimization to finance insightsIn conversation with Julian Schirmer of

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823 results

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