Podcast
CDO Magazine Podcast Series
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.
44episodes
Episodes
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PODCAST | USAWHC CDO Deepak Shah on Scaling AI Through Governance and Data Discipline
5d ago00:07:43Tap to summarizeWhat 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 enterprise AI maturity looks likeAn insightful discussion for data and AI leaders focused on long-term execution and trust.
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PODCAST | Insights from L.A. Care Health Plan on Building Trustworthy AI in Healthcare
6d ago00:09:10Tap to summarizeWhat 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 continuously validated clinical data repositories• Why human-in-the-loop AI remains essential in healthcare decision-making• How L.A. Care Health Plan approaches trustworthy and audit-ready AIIn conversation with Robert Lutton of Sandhill Consultants.Listen now.
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PODCAST | AI Automation Depends on Trusted Data Ecosystems: Insights from Qlik and Deloitte
1w ago00:08:49Tap to summarizeWhat 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 many AI initiatives fail to produce measurable outcomes• Why “walled garden” AI ecosystems break down• Why enterprises may already be closer to agentic AI than they think• Why rebuilding entire AI stacks can become expensive and riskyA timely discussion on where enterprise AI is actually headed and what leaders may be underestimating.Listen now.
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PODCAST | How Massachusetts Enables Secure Data Sharing Across Agencies to Deliver Resident Outcomes
1w ago00:05:25Tap to summarizeIn 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 in practiceListen now.
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PODCAST | How Fugro Is Solving the Alignment Problem Holding Back AI
2w ago00:10:17Tap to summarizeMost 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 operationalize data ownership🔹Why IT enables data, but doesn’t own it🔹What strong data foundations mean for AI success🔹The leadership mindset required to navigate constant changeA practical conversation for data and AI leaders trying to turn ambition into execution.Listen now.
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PODCAST | USAWHC CDO: The Discipline Behind Data Initiatives That Scale
2w ago00:11:12Tap to summarizeMost 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 the latest models or tools, determines whether data and AI initiatives scaleIn conversation with Adita Karkera, Chief Data Officer for Deloitte’s Government and Public Services.From vision and mission to measurable goals and execution discipline, this is a practical look at how transformation actually happens inside complex organizations.Listen now.
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PODCAST | AI in Oncology Is Fragmenting: City of Hope CAIO on Fixing It with Orchestration
3w ago00:14:56Tap to summarizeAI 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 in oncologyIn conversation with Erik Pupo of Guidehouse.
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PODCAST | Public vs Private Sector Data Leadership With the Massachusetts CDO
3w ago00:06:02Tap to summarizeIn 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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PODCAST | How Henkel Scales Data with Governance and Smarter Build vs Buy
3w ago00:14:49Tap to summarizeScaling 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 governance and security into systems from the start, to making smarter build versus buy decisions, to enforcing architecture discipline in a fast-moving environment.If you are navigating the shift from experimentation to scale, this episode offers a clear view of what works, what fails, and what to do differently.
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PODCAST | Why Most AI Efforts Stall at Scale and What Truist Is Doing Differently
4w ago00:12:29Tap to summarizeMost 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 the final part of a four-part series with Karan Jain, Founder and CEO of NayaOne, exploring how enterprises can operationalize AI in regulated environments.Part 1 examined why AI initiatives stall after promising pilotsPart 2 explored where AI is delivering measurable impactPart 3 focused on evaluating AI solutions without losing control
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