This comprehensive session breaks down the EU AI Act: Europe’s landmark regulation for governing AI systems. The webinar explains the legislation’s structure, timelines, and practical obligations for both AI providers and deployers. It also highlights how Seldon’s platform is designed to support compliance through robust monitoring, documentation, and deployment capabilities. A must-watch for teams responsible for AI governance, risk, and operations.
About
Learnings
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Risk classification under the EU AI Act: How AI systems are categorized into unacceptable, high, limited, and minimal risk, and the implications of each level.
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Provider vs. deployer responsibilities: Clear distinctions between the duties of those who build AI systems and those who use them, including overlap and compliance scope.
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Preparing for post-market monitoring requirements: What to expect by 2026 and how to build systems today that support future audit and oversight obligations.
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Compliance requirements for high-risk AI: A breakdown of technical, procedural, and documentation standards required for high-risk AI systems.
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How Seldon enables compliance at scale: An overview of how Seldon supports audit logging, versioning, drift detection, explainability, and secure AI deployments.
Matthew Lowdon
Matthew Lowdon is the Principal Product Manager at Seldon, leading strategy and innovation for AI and ML deployment solutions. With over a decade of experience spanning product management, quantitative analysis, and machine learning applications, Matthew has driven impactful product strategies in industries from finance to advanced AI platforms. Holding a Physics MA from the University of Oxford, Matthew blends deep technical understanding with a proven track record in delivering products that meet strategic business goals.
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