Transforming governance complexities:
Tackling the EU AI Act
Save your seat today
October 30, 2024 | 9 am ET / 1pm GMT
As AI continues to transform businesses, heavily regulated industries face significant hurdles in adoption due to strict compliance requirements. For organizations in EMEA, the new EU AI Act introduces additional complexity, making it crucial to understand how to navigate AI governance and compliance.
During this webinar, you’ll learn the opportunities and challenges of implementing AI at scale in regulated environments, while ensuring compliance with the EU AI Act’s framework. And, you’ll gain critical insights to address the EU AI Act’s compliance requirements to ensure ethical, trustworthy AI that drives innovation.
Get ready to discover :
- Key strategies for overcoming AI adoption challenges, managing governance, infrastructure, and compliance while scaling AI in complex settings.
- How to navigate the EU AI Act’s risk framework and its implications for regulated environments.
- How organizations in heavily regulated sectors are successfully deploying AI to innovate while maintaining compliance.
Who should attend?
This webinar is ideal for:
- IT and AI/ML leaders in heavily regulated industries
- CDAOs, CIOs, and CROs navigating EMEA’s regulatory landscape
- Data science leaders looking to implement AI at scale
Featured Speakers
Adam Gale
Field CTO for Cybersecurity and AI, NetApp
Adam is a Field CTO for Cybersecurity and AI, with over 20 years of industry experience and a passion for understanding regulation and legislation affecting the IT market.
Dr. Kjell Carlsson
Head of Data Science Strategy, Domino
Dr. Kjell Carlsson advises organizations on how to drive business outcomes with artificial intelligence (AI) and data science. Previously, he covered AI, ML, and data science as a Principal Analyst at Forrester Research where he wrote reports on topics ranging from computer vision, MLOps, AutoML, and conversation intelligence to augmented intelligence, next-generation AI technologies, and data science best practices.
