The AI Engineer's Guide to Surviving the EU AI Act • Larysa Visengeriyeva & Barbara Lampl episode artwork

EPISODE · Jan 13, 2026 · 32 MIN

The AI Engineer's Guide to Surviving the EU AI Act • Larysa Visengeriyeva & Barbara Lampl

from GOTO - The Brightest Minds in Tech · host Larysa Visengeriyeva, Barbara Lampl & GOTO

This interview was recorded for the GOTO Book Club.http://gotopia.tech/bookclubCheck out more here:https://gotopia.tech/episodes/409Dr. Larysa Visengeriyeva - Author of "The AI Engineer’s Guide to Surviving the EU AI Act" & Independent Consultant for EU AI Act EngineeringBarbara Lampl - Behavioral Mathematician at empathic business by Barbara LamplRESOURCESLarysahttps://x.com/visengerhttps://bsky.app/profile/visenger.bsky.socialhttps://github.com/visengerhttps://www.linkedin.com/in/larysavisengerBarbarahttps://x.com/BarbaraLamplhttps://www.linkedin.com/in/barbaralamplhttps://barbara-lampl.tumblr.comLinkshttps://ml-ops.orghttps://github.com/visenger/awesome-mlopshttps://eur-lex.europa.eu/eli/reg/2024/1689/oj/enghttps://machinelearningcanvas.comhttps://louisdorard.gumroad.com/l/mlcanvashttps://ml-ops.org/content/crisp-mlDESCRIPTIONBarbara Lampl interviews Larysa Visengeriyeva, software engineer and "godmother of MLOps", about her new book on AI engineering and compliance. What starts as a discussion about the EU AI Act quickly reveals a deeper truth: the real challenge isn't regulatory compliance - it's fundamental engineering practices.Larysa argues that quality AI systems require robust MLOps, comprehensive documentation, and proper data governance, whether regulation mandates it or not. Drawing from frameworks like CRISP-ML and the Machine Learning Canvas, the book provides practical checklists and methodologies for taking AI projects from prototype to production. Written partially in Ukraine during wartime, this "battle-tested" guide addresses the gap between technical and non-technical stakeholders, offering a common language for building sustainable AI systems.RECOMMENDED BOOKSLarysa Visengeriyeva • The AI Engineer's Guide to Surviving the EU AI Act • https://amzn.to/42SKOuULakshmanan, Robinson & Munn • Machine Learning Design Patterns • https://amzn.to/4ox4EosPhil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZDiana Montalion • Learning Systems Thinking • https://amzn.to/3ZpycdJBernd Rücker • Practical Process Automation • https://amzn.to/3cs3BSHLauren Maffeo • Designing Data Governance from the Ground Up • https://amzn.to/3QhIlnVKatharine Jarmul • Practical Data Privacy • https://amzn.to/46XPrnsZhamak Dehghani • Data Mesh • https://amzn.to/3tTCwACKate Stanley & Mickael Maison • Kafka Connect • https://amzn.to/40Jq5JzBlueskyInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Episode metadata supplied by the publisher feed · Published Jan 13, 2026

Embed this episode

This interview was recorded for the GOTO Book Club. http://gotopia.tech/bookclub Check out more here: https://gotopia.tech/episodes/409 Dr. Larysa Visengeriyeva - Author of "The AI Engineer’s Guide to Surviving the EU AI Act" & Independent Consultant for EU AI Act Engineering Barbara Lampl - Behavioral Mathematician at empathic business by Barbara Lampl RESOURCES Larysa https://x.com/visenger https://bsky.app/profile/visenger.bsky.social https://github.com/visenger https://www.linkedin...

Distinct summary based on available episode metadata or transcript content.

NOW PLAYING

The AI Engineer's Guide to Surviving the EU AI Act • Larysa Visengeriyeva & Barbara Lampl

0:00 32:03

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of GOTO - The Brightest Minds in Tech?

This episode is 32 minutes long.

When was this GOTO - The Brightest Minds in Tech episode published?

This episode was published on January 13, 2026.

Can I download this GOTO - The Brightest Minds in Tech episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!