The AI Engineer's Guide to Surviving the EU AI Act - Visengeriyeva, Larysa
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Erscheint vorauss. 29. Juli 2025
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With the introduction of the EU AI Act, companies employing AI systems face a new set of comprehensive and stringent regulations. Dr. Larysa Visengeriyeva offers a much-needed guide for navigating these unfamiliar regulatory waters to help you meet compliance challenges with confidence. From explaining the legislative framework to sharing strategies for implementing robust MLOps and data governance practices, this wide-ranging book shows you the way to thrive, not just survive, under the EU AI Act. It's an indispensable tool for engineers, data scientists, and policymakers engaged in or…mehr

Produktbeschreibung
With the introduction of the EU AI Act, companies employing AI systems face a new set of comprehensive and stringent regulations. Dr. Larysa Visengeriyeva offers a much-needed guide for navigating these unfamiliar regulatory waters to help you meet compliance challenges with confidence. From explaining the legislative framework to sharing strategies for implementing robust MLOps and data governance practices, this wide-ranging book shows you the way to thrive, not just survive, under the EU AI Act. It's an indispensable tool for engineers, data scientists, and policymakers engaged in or planning for AI deployments within the EU. By reading, you'll gain: * An in-depth understanding of the EU AI Act, including the four risk categories and what they mean for you * Strategies for compliance, including practical approaches to achieving technical readiness * Actionable advice on applying MLOps methodologies to ensure ongoing compliance * Insights on the implications of the EU's pioneering approach to AI regulation and its global effects
Autorenporträt
Larysa Visengeriyeva holds a Ph.D. in Augmented Data Quality and is the head of Data and AI at innoq.ai. Larysa is also the author of ml-ops.org and datamesh-architecture.com, two initiatives demonstrating her deep understanding, experience, and passion for machine learning operations and decentralized data architecture. These platforms show her expertise and commitment to advancing the field of data and AI through knowledge sharing and community building. Furthermore, as the founder of the Women+ in Data and AI Festival in Berlin, Germany women-in-data-ai.tech, she has created a vibrant platform that empowers and makes women visible in these dynamic fields of Data and AI.