Program

ML Summit
The big training event for Machine Learning
June 29 - July 1, 2022 | Munich

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PROGRAM ML SUMMIT 2022

PROGRAM ML CONFERENCE 2022

Mon

27. Jun 2022
09:00 - 17:00
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Workshop: Machine Learning 101++ Using Python

Dr. Pieter Buteneers, Sinch
09:00 - 17:00
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Workshop: Advancements in Natural Language Processing (NLP)

Leonardo De Marchi, idea.io

Tue

28. Jun 2022
09:00 - 09:45
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Brains vs. Brawn – Is endless scaling really the way forward?

Christoph Henkelmann, DIVISIO
10:15 - 11:00
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Keep an eye on AI — Monitor ML models in production

Hauke Brammer, DeepUp GmbH
10:15 - 11:00
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How AutoML can give companies, with few data scientists, a key advantage

Ioannis Tsamardinos, JADBio
11:30 - 12:15
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Why Security is Important in ML and How to Secure your ML-based Solutions

Dr. Rachid Kherrazi, AKKA Netherlands B.V.
11:30 - 12:15
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Greenfield and Brownfield Data Labeling – from Idea to Production with data-centric AI

Johannes Hötter, onetask.ai // kern.ai
11:30 - 12:15
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Optimize your network inference time as a data scientist, not as a web developer

Adrian Boguszewski, Intel
11:30 - 12:15
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Underspecified pipelines: Why good models underperform in production

Nikolay Manchev, Domino Data Lab
14:30 - 15:15
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Using A.I to make recommendations for career progression

Dorra Nouira, Boostrs
14:30 - 15:15
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Nature inspired optimization algorithms / Algorithm-based Staffing with Ant Colony Optimization

Laura Kölbl, MATHEMA GmbH
15:45 - 16:30
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Kotlin? For Machine Learning?

Hauke Brammer, DeepUp GmbH
17:15 - 18:00
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How We Covered Concept Drifts In Time Series Forecasting For Public Transport

Dr. Tim Frey, iunera GmbH & Co. KG
17:30 - 18:15
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Honey, I shrunk the TinyML

Lars Gregori, SAP CX

Wed

29. Jun 2022
10:15 - 11:00
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Machine Learning on the Edge using TensorFlow Lite

Håkan Silfvernagel, Miles Oslo AS
10:15 - 11:00
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IoT Analytics at Scale – Customer based product development

Danilo Dresen, taod Consulting GmbH
14:45 - 15:30
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Vector embedding AI in production systems

Jon Bratseth, Yahoo
16:00 - 16:45
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Machine learning in the browser with TensorFlow.js

Håkan Silfvernagel, Miles Oslo AS
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