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CDO Magazine Podcast Series

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.

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  • 24 episodes
  • weekly
  • Avg 12 min
  • English

Episodes 24

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  • Monday · 12 min

    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 underlying data infrastructure in place, and why a governance team has to sit inside that process instead of policing it from outside.

  • August 27 · 12 min

    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 at Autodesk, Trim breaks down the digital thread concept and the three traits that separate manufacturers who scale AI across hundreds of facilities from those stuck running one-off pilots.

  • August 24 · 12 min

    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 Consultants, for the concluding part of a three-part series on the identity graph. The conversation covers why siloed customer data undermines verification and why real-time convergence has to be solved in the architecture.

  • August 17 · 6 min

    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 needed for specific workflows.

  • August 12 · 12 min

    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 not mean reviewers can step back. Vemulapalli lays out the decision-centric architecture, funding discipline, and governance principles health plans need to move AI from pilot to production. The conversation closes with a forecast on which health plans will still be processing claims by the next decade and which will be preventing the risks behind them.

  • August 10 · 12 min

    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 architecture underneath it, not from the model's output, and explains how connected context can flip a flagged transaction into a normal one.

  • August 5 · 11 min

    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 governance model, from AI inventory to human-in-the-loop review, that turns fast models into trustworthy infrastructure. The conversation also covers why provider data is becoming a competitive differentiator instead of a compliance checkbox.

  • August 3 · 11 min

    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 provides a clear framework for tracking AI value to prove true return on investment to the board.

  • August 3 · 11 min

    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, explains to Robert Lutton, Vice President of Sandhill Consultants, why connected data architecture has become the foundation for trusted Enterprise AI and modern fraud detection.

  • July 28 · 17 min

    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 governance and a unified data fabric matter less than the decision infrastructure and shared accountability that actually move outcomes. This is part one of a three-part CDO Magazine conversation on enterprise AI strategy in healthcare.

  • July 24 · 15 min

    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 language models have commoditized domain knowledge once locked inside departing employees and legacy vendors, and why senior executives are increasingly building their own AI prototypes instead of waiting on IT teams.

  • July 20 · 9 min

    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 challenges in enterprise AI. Nadiem von Heydebrand, CEO & Co-Founder of Mindfuel, joins Justin Heller, Editorial Board Member at CDO Magazine, to discuss continuous ROI, demand management, and the operational discipline required to prioritize high-value AI opportunities.

  • July 15 · 12 min

    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 Or Zabludowski, Co-founder and CEO of Flexor, to discuss governance, enterprise architecture, and emerging talent models shaping the next generation of AI organizations.

  • July 14 · 16 min

    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 Tiger Analytics, reveal how explainable AI drives enterprise trust. Discover how embedding invisible analytics directly into existing commercial workflows eliminates operational friction and accelerates decision-making velocity.

  • July 9 · 17 min

    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 traditional data structures to open, agent-optimized architectures. The discussion outlines how robust AI governance can serve as an operational accelerator rather than a bureaucratic bottleneck.

  • July 6 · 8 min

    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 real business value. This discussion provides a clear framework for executing data strategy based on performance metrics instead of mere capability development.

  • June 29 · 14 min

    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 querying into existing workflows eliminates the need for tool retraining while maintaining central data governance. The conversation provides a blueprint for transforming data analysts from information gatekeepers into strategic advisor

  • June 22 · 8 min

    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, Global Head of Public Sector at Databricks, joins Dr. Adita Karkera, Chief Data Officer for Government and Public Services at Deloitte, to discuss how public sector organizations can responsibly scale AI while maintaining accountability and mission focus.

  • June 17 · 10 min

    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 Karkera, Chief Data Officer for Government and Public Services at Deloitte, interviews Molly Just-Behr, Global Head of Public Sector at Databricks, about democratizing data access, modernizing legacy environments, and building momentum for AI adoption across government agencies.

Showing 1–20 of 24 episodes