Guest: Charlotte Ledoux – Data & AI Governance Expert
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.
Hosted on Ausha. See ausha.co/privacy-policy for more information.
Guest: Charlotte Ledoux – Data & AI Governance Expert
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.
Hosted on Ausha. See ausha.co/privacy-policy for more information.