The AI Engineer's Guide to Surviving the EU AI ACT: Navigating the EU Regulatory Requirements
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

1146900573
The AI Engineer's Guide to Surviving the EU AI ACT: Navigating the EU Regulatory Requirements
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

79.99 In Stock
The AI Engineer's Guide to Surviving the EU AI ACT: Navigating the EU Regulatory Requirements

The AI Engineer's Guide to Surviving the EU AI ACT: Navigating the EU Regulatory Requirements

by Larysa Visengeriyeva
The AI Engineer's Guide to Surviving the EU AI ACT: Navigating the EU Regulatory Requirements

The AI Engineer's Guide to Surviving the EU AI ACT: Navigating the EU Regulatory Requirements

by Larysa Visengeriyeva

Paperback

$79.99 
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Overview

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


Product Details

ISBN-13: 9781098172497
Publisher: O'Reilly Media, Incorporated
Publication date: 08/05/2025
Pages: 275
Product dimensions: 7.00(w) x 9.19(h) x 0.58(d)

About the Author

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.
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