Foresight

Data & Machine Learning keynote speakers

Data and machine learning keynote speakers explain how models create business value and why so many projects stall before deployment. Audiences of executives, analysts and data teams get practical guidance on picking problems worth predicting, measuring results and moving from pilot to production. Eric Siegel, a former Columbia University professor, founded the Machine Learning Week conference series and wrote the bestseller Predictive Analytics. Jon Krohn is CEO and co-founder of Y Carrot, which designs agentic AI systems for enterprises, hosts the SuperDataScience podcast and wrote Deep Learning Illustrated. Elena Poughia founded Data Natives, Europe’s largest data science and AI community, and is managing director of Dataconomy. Together they cover the full path from data strategy to deployed models, for technical and non-technical audiences alike. Compare their focus below, then check availability for your date.

Speakers

Jon Krohn, AI keynote speaker — Prophets of AI

Jon Krohn

CEO and Co-Founder of Y Carrot
CEO and Co-Founder of Y Carrot
Data & Machine Learning
Fee: from $15,000
Eric Siegel, AI keynote speaker — Prophets of AI

Eric Siegel

Dr. Eric Siegel is a leading consultant and former Columbia University professor who helps companies successfully deploy machine learning.
Data & Machine Learning
Fee: from $15,000
Elena Poughia, AI keynote speaker — Prophets of AI

Elena Poughia

Founder of Data Natives and managing director of Dataconomy
Founder of Data Natives and managing director of Dataconomy
Data & Machine Learning
Fee: On request

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