The AI Trust Playbook: Monte Carlo's Barr Moses on Governing Autonomous Agents and Upskilling the Enterprise

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.