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Artificial Intelligence is transforming the way companies operate. But as AI adoption accelerates, a new challenge is emerging: how do you govern AI responsibly?
In this episode of Let’s Talk Data, Charlotte Ledoux explains why AI governance is becoming a critical business priority and how organizations can balance innovation, compliance, security, and risk management.
Building on the foundations of data governance, we explore what companies need to put in place to scale AI successfully and avoid costly mistakes.
In this episode, you’ll learn:
- The difference between data governance and AI governance
- Why AI governance has become a strategic issue for business leaders
- The risks of "shadow AI" and uncontrolled AI adoption
- How to build an AI governance framework
- The importance of AI committees, guardrails, and clear ownership
- How the European AI Act is shaping the future of AI governance
- Practical first steps to implement AI governance in your organization
The takeaway: AI can unlock tremendous business value, but without the right governance framework, it can also introduce significant risks. Organizations that act now will be better positioned to scale AI responsibly, securely, and with confidence.
Brought to you by DQE – Data Quality Everywhere.
Speakers
Leonard Jochem
Journalist | Podcast Host
Charlotte Ledoux
Data & AI governance expert
Enjoy listening!