CDO Magazine Podcast Series
by CDO Magazine
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.
Episodes
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AWS and Deloitte: Building the Data and Cloud Foundation for National Security
How can national security agencies accelerate AI adoption while working with classified data and evolving mission requirements? Samantha Fletcher, Head of National Security Programs at AWS, discusses secure cloud infrastructure, interoperable intelligence data, and workforce readiness with Dr....
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Governance That Fuels Speed and Innovation: Shebani Baweja on the Evolving CDO Role
Shebani Baweja, Group Chief Data Officer at Standard Chartered, speaks with Bryan Lee, Group Head of Data at United Overseas Bank, about why governance, agility and innovation reinforce each other when they are designed well. Baweja also maps how the CDO role is moving from risk and control…
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Data Governance Leader Beth Hiatt on Assessing Company Maturity Before Pushing Programs Forward
Beth Hiatt explains why AI initiatives need clear business priorities and why governance programs can lose traction when organizational maturity is overlooked. Jessie Smith, Chief Product Officer at Ataccama, explores how data leaders can assess readiness, adjust execution, and connect AI use…
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What Does a Single Trusted Data Foundation Look Like in Practice? Shebani Baweja Explains
Legacy technology architectures were not designed for artificial intelligence, making tail-end data reviews a major bottleneck for scaling enterprise AI. In this interview, Shebani Baweja, Group Chief Data Officer at Standard Chartered, speaks with Bryan Lee, Group Head of Data at United Overseas...
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‘AI Ready’ Is Overhyped: Readiness Largely Comes Down to Data Quality, Governance and Trust
How can government agencies prepare data for advanced analytics and AI while maintaining quality, governance, privacy, and public trust? Neil Cooke, Chief Data Officer at the State of Texas, discusses the challenge with Dr. Adita Karkera, Chief Data Officer, Government and Public at Deloitte,...
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AI Adoption Takes More Than Licenses: DataXray’s Kyle DuPont on Enterprise Execution
Kyle DuPont, Founder and CEO of DataXray, speaks with CDO Magazine Editorial Board Member Maribeth Achterberg, that most enterprise AI strategies stop at a stack of Copilot licenses with no way to measure return. DuPont breaks down why a typical enterprise project takes roughly eighteen months to...
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Clean Data Isn't Enough: Beth Hiatt on Why Business Context Decides AI Trust
Beth Hiatt, SVP of Product Management, Data Governance and Responsible AI, tells Jessie Smith, Chief Product Officer at Ataccama, that even flawless data quality cannot earn AI trust without the right business context. Hiatt also walks through why data stewardship is shifting away from manual…
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Scaling AI at a Super-Connector Bank: Standard Chartered Group CDO Shebani Baweja on Three Data Enablers
Shebani Baweja, Group Chief Data Officer at Standard Chartered, tells Bryan Lee, Group Head of Data at United Overseas Bank, that scaling AI across a bank is an enterprise challenge rather than a technology one. Baweja explains why data governance has shifted from a defensive compliance function...
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The CDO Role Is Rarely About Technology: Neil Cooke on What Actually Builds Trust in Data
Neil Cooke, Chief Data Officer for the State of Texas, tells Dr. Adita Karkera, Chief Data Officer, Government and Public at Deloitte, that leading a statewide data program depends less on technology and more on governance, communication and trust. Cooke walks through the shift into the interim…
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Agentic AI in Manufacturing: Eaton’s Tony Trim on Where Capability Meets Control
Tony Trim, Manufacturing Operations AI Leader at Eaton, speaks with Stephen Hooper, SVP Operations Solutions at Autodesk, that agentic AI in manufacturing only earns trust when its boundaries, interlocks, permissives and clear human authority are engineered in before it reaches the plant floor....
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Data Loss Prevention Is Becoming a Compliance Problem: DataXray's Kyle DuPont on Zero Trust
Kyle DuPont, Founder and CEO of DataXray (Ohalo), speaks with Maribeth Achterberg, CDO Magazine Editorial Board Member, about data loss prevention, zero trust, compliance, and the metadata foundation connecting security with data management. The conversation explores how regulated enterprises can...
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Beyond the Hype Cycle: Eaton's Tony Trim on Where Manufacturing AI Pays Off
Tony Trim, Manufacturing Operations AI Leader at Eaton, tells Stephen Hooper, Senior Vice President of Operation Solutions at Autodesk, that most digital twins fail by trying to replicate an entire factory instead of solving one costly problem. Trim breaks down where digital twins actually…
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Beth Hiatt on Building AI Governance: Infrastructure, Process and Meaning
Beth Hiatt, SVP of Product Management, Data Governance and Responsible AI at LPL Financial, tells Jessie Smith, Chief Product Officer at Ataccama, that AI without business context will not produce the results a company expects. Hiatt breaks down why the first 90 days of an AI program need the...
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From a Billion Files to the Handful That Matter: DataXray’s CEO Kyle Dupont on Getting a Data Estate AI-Ready
Kyle DuPont, Founder and CEO of DataXRay, speaks with Maribeth Achterberg, CDO Magazine Editorial Board Member, about how AI is changing the value of unstructured data. The conversation focuses on metadata, file relevance, and how enterprises can help users and agents find the information needed...
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Inside Tony Trim's Manufacturing AI Strategy: Data, Scale and Shop-Floor Execution at Eaton
Tony Trim, Manufacturing Operations AI Leader at Eaton, explains why the biggest obstacle on the factory floor was never the equipment itself but the tribal knowledge trapped in people's heads and scattered across disconnected systems. In conversation with Stephen Hooper, SVP Operations Solutions...
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Identity Is Not a Compliance Problem: Rohit Chauhan, Former Mastercard EVP, on the New Risk Surface
Most banks still treat customer identity as a compliance requirement, and that framing now leaves every online transaction exposed. Rohit Chauhan, former Executive Vice President of Artificial Intelligence and Fraud Solutions at Mastercard, joins Robert Lutton, Vice President of Sandhill...
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Why AI Changes Unstructured Data: Data X-Ray’s Kyle DuPont on Metadata Intelligence
Kyle DuPont, Founder and CEO of Data X-Ray, speaks with Maribeth Achterberg, CDO Magazine Editorial Board Member, about how AI is changing the value of unstructured data. The conversation focuses on metadata, file relevance, and how enterprises can help users and agents find the information…
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AI Agents Join the Workforce: Muralidhar Vemulapalli on Why They Need Accountability
In the final episode of this three-part series, Muralidhar Vemulapalli, Chief Enterprise Architect and Acting Chief Technology Officer at Arkansas Blue Cross Blue Shield, tells Chris Gengo, Chief Innovation Officer at HiLabs, why AI approving eighty percent of prior authorization requests does…
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Why Better Data Beats Bigger AI Models: Enterprise AI Executive Rohit Chauhan
Rohit Chauhan, former Executive Vice President of Artificial Intelligence & Fraud Solutions at Mastercard, tells Robert Lutton, Vice President of Sandhill Consultants, why a more powerful AI model will not fix fraud detection on its own. Chauhan argues that trust in AI comes from the data...
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AI Governance Makes Innovation Scalable in Trust: Insights from Muralidhar Vemulapalli
In this CDO Magazine interview, Muralidhar Vemulapalli, Chief Enterprise Architect and Acting Chief Technology Officer at Arkansas Blue Cross Blue Shield, tells Chris Gengo, Chief Innovation Officer at HiLabs, why ungoverned AI cannot be deployed at enterprise scale. Vemulapalli lays out the...
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No Use Case, No Value: Mindfuel CEO Nadiem von Heydebrand on Proving AI ROI
Enterprise leaders frequently fail to justify data investments because they report on technical outputs rather than commercial outcomes. In this video, Mindfuel CEO Nadiem von Heydebrand joins CDO Magazine Editorial Board Member Justin Heller to solve this operating model problem. The discussion...
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Fraud Detection Now Depends on Connected Data Architecture: Former Mastercard AI & Fraud Solutions EVP
Banks continue investing in more sophisticated fraud models, yet many still struggle to keep pace with increasingly connected fraud schemes. In Part 1 of this three-part interview series, Rohit Chauhan, former Executive Vice President of Artificial Intelligence & Fraud Solutions at Mastercard,...
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AI Readiness Starts With Decision Infrastructure: Arkansas Blue Cross Blue Shield's Murali Vemulapalli
Muralidhar Vemulapalli, Chief Enterprise Architect and Acting Chief Technology Officer at Arkansas Blue Cross Blue Shield, tells Chris Gengo, Chief Innovation Officer at HiLabs, why most health plans generate insight but never turn it into an operational decision. Vemulapalli argues that AI...
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Who Owns AI Context in the Enterprise? Carrier Global's Arun Nandi Weighs In
In the final episode of this three-part series, Carrier Global Chief Data Officer Arun Nandi joins Flexor Co-Founder and CEO Or Zabludowski to explain how centralized AI governance and decentralized context ownership can work together inside a large enterprise. Nandi also unpacks why large…
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AI for AI's Sake: Mindfuel CEO Nadiem von Heydebrand on Filtering Real Use Cases from the Noise
Many AI initiatives deliver outputs, yet struggle to generate sustained business value. In this conversation, Nadiem von Heydebrand explains why organizations must shift from project-based thinking to product-based execution and why identifying the right use cases remains one of the biggest...
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The Cost of Rigid Ecosystems: Carrier Global Arun Nandi on Avoiding Long-Term AI Technical Debt
As enterprises race to deploy AI, many risk creating technical debt that will be difficult to unwind in the future. Arun Nandi, CDO at Carrier Global, explains why open standards, architectural flexibility, and trusted data products are becoming essential for sustainable AI adoption. Nandi joins…
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From Insights to Action: Ashutosh Katiyar on Scaling Next Best Action in Pharma
Scaling Next Best Action platforms across diverse therapeutic areas requires solving the critical challenge of field-level user adoption. In this interview, Commercial Strategy, Insights & Analytics Executive Ashutosh Katiyar and Subrata Chatterjee, Global Growth Partner for Life Sciences at…
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AI Governance as an Innovation Accelerator: Carrier CDO Arun Nandi on Scaling Agentic Execution
As organizations face a massive wave of agentic AI adoption, managing technical debt and platform sprawl has become a critical priority for enterprise tech leaders. In this episode, Carrier Global Chief Data Officer Arun Nandi and Flexor CEO Or Zabludowski explore how to transition from…
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Output Is Easy, Outcomes Are Hard: Mindfuel CEO Nadiem von Heydebrand on Proving AI Value
Enterprise data teams frequently focus on generating technical output rather than delivering true business outcomes. Mindfuel CEO and Co-Founder Nadiem von Heydebrand shares insights with Justin Heller, a CDO Magazine editorial board member, on how to isolate core operational problems to quantify...
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Building Trusted Self-Serve Analytics for Better Commercial Decisions with Ashutosh Katiyar
In this interview, Subrato Chatterjee, Global Growth Partner for Life Sciences at Tiger Analytics, talks with Commercial Strategy, Insights & Analytics Executive Ashutosh Katiyar, about overcoming user adoption hurdles in decentralized data systems. Katiyar explains how embedding natural language...
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Data Governance as an AI Accelerator: Databricks Leader Molly Just-Behr on Public Sector Readiness and Trust
Organizations often focus on AI ambitions before addressing data readiness, governance, and trust. In this conversation, Molly Just-Behr explains why AI success depends on strong data foundations, transparent governance, workforce development, and cross-agency data sharing. Molly Just-Behr…
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Databricks Public Sector Leader on Achieving Mission Success Through Unified Data and AI Platforms
Government organizations are under pressure to deliver greater impact with limited resources. In this conversation, Molly Just-Behr explains why unified data and AI foundations are becoming essential for improving mission outcomes, increasing efficiency, and reducing operational risk. Dr. Adita...
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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...
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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...
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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.
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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.
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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...
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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...
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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 estates Governance and privacy by design…
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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...
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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...
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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...
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PODCAST | Massachusetts CDO Karthik Yajurvedi on Building Cross-Agency Data Trust
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...
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PODCAST | What Enterprises Get Wrong About Trusted AI: Insights From Qlik and Deloitte
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....
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PODCAST | How Enterprises Can Prepare Data for AI Agents: Monte Carlo CEO Barr Moses Explains
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...
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PODCAST | USAWHC CDO Deepak Shah on Scaling AI Through Governance and Data Discipline
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...
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PODCAST | Insights from L.A. Care Health Plan on Building Trustworthy AI in Healthcare
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...
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PODCAST | AI Automation Depends on Trusted Data Ecosystems: Insights from Qlik and Deloitte
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 scale In…
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PODCAST | How Massachusetts Enables Secure Data Sharing Across Agencies to Deliver Resident Outcomes
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....
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PODCAST | How Fugro Is Solving the Alignment Problem Holding Back AI
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...
About this 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.
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