CDO Magazine Podcast Series | Podcast in RSS.com

CDO Magazine Podcast Series

CDO Magazine Podcast Series

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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