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6 Must-haves bij data governance

Interview: ‘Grote AI-dromen verwezenlijk je in kleine stapjes’

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September 10 & 11 2025 | Jaarbeurs Utrecht Free ticket For visitors

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About Data Expo

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Giving a lecture

Book a stand

Testimonials

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All the information about exhibiting in one document.

Program

Program

About this edition

Program

Speakers

Giving a lecture

Testimonial speakers

Exhibitor list Blog & Knowledge

Blog & Knowledge

Ontdek

Blog

Uitgelicht

6 Must-haves bij data governance

Interview: ‘Grote AI-dromen verwezenlijk je in kleine stapjes’

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Free ticket
Big Data Expo Vorm F (1) Big Data Expo Vorm E (1)

Navigating High-Risk AI: Practical Guidance and Forthcoming EU Legislation under the AI Act

Wednesday 11:45 - 12:15
Lezingenzaal 3
Rimma Dzhusupova

Member of the Plenary in Developing the EU General-Purpose AI Code of Practice

Linkedin Meer over deze spreker

The EU AI Act introduces a new era of regulation for organizations developing or deploying AI, especially in sectors where AI applications can be classified as high-risk. This session will guide you through:

  • The EU AI Act's Risk-Based Approach: Understanding how AI systems are classified, what makes a system "high-risk," and why this matters
  • Practical Compliance Frameworks: A step-by-step framework for aligning your AI development and deployment workflows with the Act's requirements. This includes procurement, adaptation of third-party generative AI, and internal development of AI solutions.
  • Real-World Case Studies: How organizations are establishing their AI governance practices to meet new legal obligations.

Actionable Takeaways:

  • How to identify high-risk AI systems
  • What to require from vendors and partners
  • How to integrate compliance into your AI lifecycle

The EU AI Act introduces a new era of regulation for organizations developing or deploying AI, especially in sectors where AI applications can be classified as high-risk. This session will guide you through:

  • The EU AI Act's Risk-Based Approach: Understanding how AI systems are classified, what makes a system "high-risk," and why this matters
  • Practical Compliance Frameworks: A step-by-step framework for aligning your AI development and deployment workflows with the Act's requirements. This includes procurement, adaptation of third-party generative AI, and internal development of AI solutions.
  • Real-World Case Studies: How organizations are establishing their AI governance practices to meet new legal obligations.

Actionable Takeaways:

  • How to identify high-risk AI systems
  • What to require from vendors and partners
  • How to integrate compliance into your AI lifecycle

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