ML Summit

The big training event for Machine Learning

November 30 – December 2, 2022

Berlin

ML Summit

The big training event for Machine Learning

November 30 – December 2, 2022

Berlin

The ML Conference Munich and ML Summit are joining forces to provide the definitive event for machine learning innovation.

Together with ML Summit the combined event now includes 3 extra days packed with 12 additional online workshops given by world-renowned experts.

The best part: with the 5-DAY SPECIAL ticket you get full access to the combined event.

ML Conference Munich

Munich or Online

3 day conference

ML Intro Day

25+ expert speakers

Attend on-site in Munich or online

Sessions, Keynotes & Workshops

ML Summit

Munich

3 day Summit

Attend in Munich

Keynotes and night sessions

Half-day and full-day power workshops

Materials and code examples for download

The program of ML Conference Munich 2020 will be announced soon! As reference, please see the program of ML Conference Berlin 2019 below.

Track Speakers Berlin 2019

Michael Inden

Michael Inden

Freelancer
Rainer Stropek

Rainer Stropek

timecockpit.com
Serg Masis

Serg Masis

Syngenta
Oz Tiram

Oz Tiram

tiram.it
Dr. Christian Winkler

Dr. Christian Winkler

datanizing GmbH
Thomas Chen

Thomas Chen

Academy for Mathematics, Science, and Engineering

Track Program Berlin 2019

Track Speakers Berlin 2021

Track Speakers Singapore 2021

Track Speakers Munich 2022

ML Summit Program

Track Program Singapore 2021

ML Summit Program 2022

Track Sessions London 2026

Track Sessions London 2026

View all sessions

Track Sessions Amsterdam 2026

Track Sessions Amsterdam 2026

View all sessions

Track Sessions San Diego 2026

Track Sessions San Diego 2026

View all sessions

Track Sessions MLcon Munich 2026

Track Sessions MLcon Munich 2026

View all sessions

Track Sessions MLCon New York

Track Sessions MLCon New York

View all sessions

Track Sessions MLcon Berlin 2025

Track Sessions MLcon Berlin 2025

View all sessions

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Behind the Tracks

Generative AI & Agents
Unlock the future of AI with LLM advancements.

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Bridge the gap between model creation and real-world application.

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From Feature Engineering to Explainable AI.

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Transform business processes with AI-driven strategies.

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Build next-generation machine learning applications.

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