Unlock the Potential of Generative AI with Robust Governance

What You’ll Learn ?

GenAI introduces risks such as hallucinations (misleading or inaccurate outputs), security vulnerabilities, and ethical concerns. This session will explore why a robust governance framework is essential to mitigate these risks.

With GenAI adoption increasing, regulatory requirements are evolving. This section will outline compliance obligations, risk mitigation strategies, and how organisations can align with emerging standards.

Governance demands a structured approach. We will cover key elements of AI governance, including model oversight, risk assessment, and continuous monitoring to ensure responsible deployment.

IBM’s Watsonx.governance provides organisations with essential tools to operationalise AI governance strategies, ensuring compliance tracking, model validation, and responsible AI use at scale.

Security is paramount in GenAI deployment. IBM’s Guardium Security AI offers an additional layer of protection, safeguarding AI systems against data breaches, unauthorised access, and security threats.

Peter De Locht

Data & AI specialist, Solution Architect, AI Ambassador, Innovation Officer at IBM

Sabri Skhiri

Sabri Skhiri

Expert in Data and AI Governance at Euranova

Maryem Marzouk

Maryem Marzouk

Data & AI Governance at Euranova

Why Attend ?

Connect with other security and data leaders.

Get actionable takeaways to strengthen your organisation’s AI governance framework.

Implement structured processes to improve GenAI performance.  

Understand the evolving compliance landscape and risk management strategies.

Register Now!

For registration to this exclusive event, kindly reach out to your designated contact person at Euranova or IBM.
We look forward to an engaging discussion on building a secure and responsible AI future!

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