Unlock the potential of generative AI with robust governance
Peter De Locht
Data & AI specialist, Solution Architect, @Innovation Officer at IBM
Sabri Skhiri
Expert in Data & AI Governance @Euranova
Maryem Marzouk
Data & AI Governance @Euranova
Unlock the potential of generative AI with robust governance
The emergence of Generative AI (GenAI) offers transformative potential, but it also introduces critical governance challenges. Organisations must address these challenges to deploy GenAI responsibly and securely. This Lunch & Learn session provides an overview of essential governance principles for GenAI, highlighting why governing this technology is imperative and how organisations can structure effective oversight.
Join us!The need for GenAI Governance
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.
Regulatory Responsibilities for Deployers & Risk Management
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.
Implementing AI Governance for GenAI
Companies hold vast amounts of valuable data but often struggle to unlock its potential for monitoring, analysis, automation, and data intelligence. This session covers practical implementation strategies.
Watsonx.governance for Governance Implementation
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.