icon

ML BERLIN HYBRID CONFERENCE: Learn more about on-site or online attendance here

icon

ML BERLIN HYBRID CONFERENCE: Learn more about on-site or online attendance here

icon

ML SINGAPORE ONLINE CONFERENCE: Learn more about online attendance here

icon

ML BERLIN HYBRID CONFERENCE: Learn more about on-site or online attendance here

Program Munich

ML Conference
The Conference for Machine Learning Innovation
June 27 – 29, 2022 | Munich or Online

The program of ML Conference Munich 2022 will be announced soon! Stay tuned for more information.

Pick the program of your choice:

ML Conference Munich

Take me to the ML Munich Program

 

ML Summit

Take me to the ML Summit Program

PROGRAM OF ML CONFERENCE MUNICH 2022

All time slots are displayed in the Central European Time.

Mon

27. Jun 2022
09:00 - 17:00
Kopernikus 2 WS
Workshop Type Icon

Workshop: Machine Learning 101++ Using Python

Dr. Pieter Buteneers, Sinch
09:00 - 17:00
Kopernikus 3 WS
Workshop Type Icon

Workshop: Advancements in Natural Language Processing (NLP)

Leonardo De Marchi, idea.io
10:30 - 11:00

Coffee Break

12:30 - 13:30

Lunch Break

15:00 - 15:30

Coffee Break

Tue

28. Jun 2022
09:00 - 09:45
Kopernikus 3
Keynote Type Icon

Welcome to the first day of the ML Con/ IoT Con and opening keynote: Brains vs. Brawn – Is endless scaling really the way forward?

Christoph Henkelmann, DIVISIO GmbH
Sebastian Meyen, Software & Support Media
09:45 - 10:15

Coffee Break

10:15 - 11:00
Kopernikus 2
Session Type Icon

Keep an eye on AI — Monitor ML models in production

Hauke Brammer, DeepUp GmbH
10:15 - 11:00
Kopernikus 3
Session Type Icon

How AutoML can give companies, with few data scientists, a key advantage

Ioannis Tsamardinos, JADBio
11:00 - 11:30

Coffee Break

11:30 - 12:15
Kopernikus 3
Session Type Icon

Self-supervised Learning: Teaching AI common sense

Dr. Pieter Buteneers, Sinch
11:30 - 12:15
Kopernikus 1
Session Type Icon

Greenfield and Brownfield Data Labeling – from Idea to Production with data-centric AI

Johannes Hötter, onetask.ai // kern.ai
11:30 - 12:15
Kopernikus 2
Session Type Icon

Underspecified pipelines: Why good models underperform in production

Nikolay Manchev, Domino Data Lab
12:15 - 13:30

Lunch Break

13:30 - 14:00
Kopernikus 3
Keynote Type Icon

The latest greatest in IoT Connectivity fuels the expansion of the IoT world

Frank Schmidt-Küntzel, Telefónica Germany
14:00 - 14:30

Coffee Break

14:30 - 15:15
Kopernikus 3
Session Type Icon

Threat modeling and security assessment for ML models

Alex Polyakov, Adversa.AI
14:30 - 15:15
Kopernikus 1
Session Type Icon

Nature inspired optimization algorithms / Algorithm-based Staffing with Ant Colony Optimization

Laura Kölbl, MATHEMA GmbH
14:30 - 15:15
Kopernikus 2
Session Type Icon

Using A.I to make recommendations for career progression

Dorra Nouira, Boostrs
15:15 - 15:45

Coffee Break

15:45 - 16:30
Kopernikus 2
Session Type Icon

Kotlin? For Machine Learning?

Hauke Brammer, DeepUp GmbH
15:45 - 16:30
Kopernikus 3
Session Type Icon

Introduction to Sentence Embeddings

Dr. Christian Winkler, datanizing GmbH
17:30 - 18:15
Kopernikus 2
Session Type Icon

Honey, I shrunk the TinyML

Lars Gregori, SAP CX
17:30 - 18:15
Kopernikus 3
Session Type Icon

Warning: this is not another MLOps best practices talk

Amit Bendor, Artlist

Wed

29. Jun 2022
09:00 - 09:45
Kopernikus 3
Keynote Type Icon

Automating inspections with smart drones

Oliver Neubauer, TOP seven GmbH & Co. KG
09:45 - 10:15

Coffee Break

10:15 - 11:00
Kopernikus 3
Session Type Icon

How Machine Learning is (becoming) creative

Andreas Bühlmeier, DBC Enterprice Intelligence
10:15 - 11:00
Kopernikus 2
Session Type Icon

Machine Learning on the Edge using TensorFlow Lite

Håkan Silfvernagel, Miles Oslo AS
10:15 - 11:00
Kopernikus 1
Session Type Icon

Optimize your network inference time as a data scientist, not as a web developer

Adrian Boguszewski, Intel
10:15 - 11:00
Einstein 1
Session Type Icon

IoT Analytics at Scale – Customer based product development

Danilo Dresen, taod Consulting GmbH
11:00 - 11:30

Coffee Break

11:30 - 12:15
Kopernikus 2
Session Type Icon

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
Kopernikus 3
Session Type Icon

The unreasonable effectiveness of simple models

Julien Schuermans, ML6
12:15 - 13:30

Lunch BreaK

13:30 - 14:15
Kopernikus 3
Keynote Type Icon

IoT and Sustainability

Mirko Ross, asvin.io
14:15 - 14:45

Coffee Break

14:45 - 15:30
Kopernikus 2
Session Type Icon

Vector embedding AI in production systems

Jon Bratseth, Yahoo
14:45 - 15:30
Kopernikus 3
Session Type Icon

The importance and pitfalls of pseudonymization

Lisa Becker, ML6
15:30 - 16:00

Coffee Break

16:00 - 16:45
Kopernikus 3
Session Type Icon

k-NN on steroids – an introduction to approximate nearest neighbours

Kacper Łukawski, Qdrant
16:00 - 16:45
Einstein 1
Session Type Icon

State-of-the-art in large scale recommender systems

Aditya Gulgani, Meta
16:45 - 17:15

Coffee Break

17:15 - 18:00
Kopernikus 2
Session Type Icon

How We Covered Concept Drifts In Time Series Forecasting For Public Transport

Dr. Tim Frey, iunera GmbH & Co. KG
17:15 - 18:00
Kopernikus 3
Session Type Icon

Dataset design for technically and legally clean ML development

Michael Osterrieder, vAIsual Inc

Thu

30. Jun 2022
14:15 - 17:30
Workshop Type Icon

Feature Engineering and feature Selection Workshop Part 2

Dr. Pieter Buteneers, Sinch

Program ML Summit 2022