In this episode of the CAIO Connect Podcast, host Sanjay Puri sits down with Madalina Tanasie, CTO of Collibra, to discuss the evolving role of data governance in the age of enterprise AI. From aligning C-level strategy to measuring ROI, exploring internal vs. external AI use cases, and diving deep into the rise of agentic AI, Madalina shares her unique perspective on building trustworthy and scalable AI solutions.

5 Key Takeaways
⚖️ Balancing Speed and Safety: AI leaders must balance rapid innovation with responsible governance to win trust and scale effectively.
🏗️ Starting Small with AI: Early AI adoption should focus on low-risk internal use cases like code generation, operations automation, and knowledge management.
📊 Measuring ROI Realistically: Boards and executives should distinguish between AI prototypes and production-ready solutions when evaluating ROI.
🔒 Governance Is Essential: Frameworks like the EU AI Act and ISO standards are critical in moving from pilots to durable, governed AI products.
🤖 Agentic AI Opportunities & Risks: Agents can revolutionise workflows but raise new governance and compliance challenges that enterprises must manage carefully.

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Resources Mentioned:
https://www.linkedin.com/in/madalina-tanasie/

Timestamps:
0:00 – Introduction: Meet Madalina Tanasie & the CAIO Connect Podcast
1:10 – Data Governance in the AI Age
5:00 – Balancing Speed and Safety for AI Leaders
10:20 – How Enterprises Start Small with AI
15:30 – Internal vs External AI Use Cases
21:00 – Measuring AI ROI: Prototypes vs Production
25:00 – Essential Governance: EU AI Act & ISO Standards
29:00 – Agentic AI: New Opportunities & Risks
33:00 – Closing Insights & Resources

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