[BONUS] Is data governance still a thing? Joseph Aoun x Margot Bletterie

Is your AI strategy at risk because of outdated data governance? In this bonus episode of The AI Social Club, Joe Aoun breaks down why governance isn’t just a compliance checkbox—but the backbone of trustworthy, scalable AI.

Joe Aoun, data strategy leader and governance advocate, joins Margot to explore the often misunderstood but mission-critical role of data governance in the era of generative AI. Why do so many companies still get it wrong? And how can you move from rigid control to agile enablement—without losing trust, quality, or speed?

If you’re building AI responsibly, this is a must-listen.

🔹 You will learn:

• The real difference between data governance and data enablement—and why both matter
• Why traditional governance models fail in AI-driven environments
• How to create governance that’s usable, flexible, and doesn’t kill innovation
• What “AI governance” really means (hint: it’s not just a rebrand)
• The biggest operational mistakes companies make with data governance
• How to gamify governance and drive adoption through literacy and transparency

CHAPTERS:

00:00 Introduction  

01:15 What is data governance vs data enablement?  

03:04 Governance as creating safe spaces for innovation  

05:30 Why overregulation kills productivity  

07:20 AI governance: evolution or distraction?  

09:45 Why most governance policies fail  

11:36 Operationalizing governance: roles, KPIs & tools  

13:22 Three scenarios of GenAI adoption in companies  

16:07 Agile, iterative governance in action  

17:45 How to get employees to follow the rules  

18:50 Closing thoughts: why governance is leadership

🎧 Subscribe to The AI Social Club Podcast for more conversations with AI & data leaders

🔗 LinkedIn: https://www.linkedin.com/company/the-ai-social-club/

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