Jon Krohn

CEO and Co-Founder of Y Carrot

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Fee: from $15,000

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About Jon Krohn

Dr. Jon Krohn is CEO and co-founder of Y Carrot, a software company that specializes in designing and implementing agentic AI systems for enterprises. He also serves as ML Practice Fellow at Lightning AI and is the host of SuperDataScience, the data science industry’s most listened-to podcast. He wrote the book Deep Learning Illustrated, an instant #1 bestseller that was translated into seven languages. He supervises doctoral research in AI robotics at the University of Auckland, lectures at leading universities (Columbia, NYU), keynotes at top global conferences (Web Summit, Collision) and presents content on Bloomberg TV that’s viewed by millions. Jon holds a PhD from Oxford and has been publishing on machine learning in prominent academic journals since 2010; his papers have been cited thousands of times.

Agents That Trade: Building a Multi-Agent Trading Floor — Live

Jon Krohn keynote topics

Agents That Trade: Building a Multi-Agent Trading Floor — Live

Jon starts with a blank screen and a prompt, uses Claude Code to build a fully functional trading platform from scratch on stage, then hands it to competing AI agents that each run a distinct strategy and execute trades in real time. Built for financial-services audiences, the session shows agentic AI working live rather than on slides.

Driving ROI from Agentic AI: From Pilot to Production

Why do most enterprise AI projects stall? Jon explains the architectural decisions that move agentic AI from demo to measurable, deployed value. Drawing on his work designing and implementing agentic AI systems for enterprises at Y Carrot, he gives decision-makers a practical path from pilot to production and a clear view of what agentic AI means past the buzzword.

Becoming an AI Orchestrator: The New Operating Model

Jon lays out the post-headcount org chart: how leaders compose teams of humans and AI agents, and what the next 24 months actually look like for knowledge work. The talk shares its name with a new title in the Pearson AI Signature Series, which Jon edits, and is aimed at leadership audiences deciding how to organize work around agents.