CDO Magazine Podcast Series

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 govern...

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 p...

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...

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 P...

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,...

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 Regene...

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 which enterprises lead the next phase of transformation.

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.

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.

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 internal generative AI tools like ChatPG, and trained more than 20,000 employees through its decentr...

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 agendas today Why AI-ready data foundations matter more than ever How AI agents are accelerating data ope...

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 Why AI exposes poor data quality Reducing manual processes and Excel dependency The evolving mandate of t...

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 ever • How Qlik + Deloitte view the next five years of AI transformation Listen now.

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 combination of data science, AI engineering, and its AI Factory model. The conversation covers: • En...

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 healthcare, why organizations are still in the early stages of operational AI maturity, and how trusted, sta...

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 governance without bottlenecks, building trust across silos, context-based data quality in the age of AI, an...

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. The discussion covers: Why trust determines AI adoption The evolution from data literacy to AI literac...

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 of poorly governed AI agents • Why enterprises cannot delay AI experimentation waiting for “perfect” d...

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 conversation examines: • Why frameworks, playbooks, and runbooks matter • How trust in AI depends on tr...

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 reshape the industry. Key discussion points include: • Why healthcare payers are moving beyond claim...

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 conversation with Dr. Adita Karkera of Deloitte, Capone explains why organizations moving toward automation and ag...

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. Key themes include: 🔷 Why fragmented data limits policy decisions 🔷 The role of trust, privacy, and...

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 introduces the “Swiss cheese model” of misalignment and explains how gaps in awareness, ownership, and acc...

Most data initiatives don’t fail during execution. They fail at the start. In this episode, Deepak Shah, Chief Data Officer at the U.S. Army Western Hemisphere Command, breaks down what it takes to build enterprise data initiatives that scale and endure. 🔹Why most data initiatives fail before execution and how to fix the starting point 🔹Using vision, mission, and goals as execution discipline 🔹...

AI in healthcare is scaling fast. Coordination is not. In this final part of a three-part series, Nasim Eftekhari, Chief AI and Analytics Officer at City of Hope, joins Erik Pupo of Guidehouse to examine what it takes to orchestrate AI at scale in oncology. Key takeaways: • Why agent orchestration is the next enterprise AI challenge • What happens when AI agents don’t communicate • How multimodal...