CDO Magazine Podcast Series | Podcast en RSS.com

CDO Magazine Podcast Series

CDO Magazine Podcast Series

por CDO Magazine

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.

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.

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

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.

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.

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 Analytics, Ashutosh Katiyar, Executive Director, Commercial Strategy, Insights & Analytics at Regeneron, shares how organizations can build intelligence capabilities that identify signals early, support scenario planning, and create stronger connections between analytics and patient outcomes.

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