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

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

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ML SINGAPORE ONLINE CONFERENCE: Learn more about online attendance here

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

MLCON Berlin new format


5 PACKED DAYS 3 UNIQUE PHASES
THE EVENT FOR MACHINE LEARNING TECHNOLOGIES & INNOVATIONS
November 28 – December 2, 2022 | Berlin or Online

Pick the program of your choice:

ML Conference Berlin

Take me to the ML Berlin Program

 

ML Summit

Take me to the ML Summit Program

PRE-CONFERENCE

CONFERENCE

TRAINING DAYS

mlcon berlin program 2022

Mon

28. Nov 2022
08:00 - 09:00

Conference Check-in

09:00 - 17:00
Salon 3 WS
Workshop Type Icon

Machine Learning 101++ Using Python Workshop

Dr. Pieter Buteneers, Sinch
10:30 - 11:00

Break

12:30 - 13:30

Lunch

15:00 - 15:30

Break

Tue

29. Nov 2022
08:00 - 09:00

Conference Check-in

09:00 - 10:45
Salon 4
Keynote Type Icon

Welcome to MLCON 2022 in Berlin and opening keynote: Machine Learning — the big picture for creating successful products

Christoph Henkelmann, DIVISIO GmbH
Sebastian Meyen, Software & Support Media
Christoph Windheuser, Databricks
10:45 - 11:15

Break

11:15 - 12:00
Salon 3
Session Type Icon

Software 2.0: How does data become an AI software artifact?

Leonard Püttmann, onetask.ai // kern.ai
11:15 - 12:00
Salon 4
Session Type Icon

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

Ioannis Tsamardinos, JADBio
12:00 - 12:30

Break

12:30 - 13:15
Salon 3
Session Type Icon

Data Centric AI vs Model Centric AI – The “right” data vs “best” model culture

Prof. Debjyoti Paul, Amazon
12:30 - 13:15
Salon 4
Session Type Icon

Holistic Voice Application Monitoring: How to sleep well every night

Dominik Meißner, 169 Labs GmbH
13:15 - 14:15

Lunch

14:15 - 15:00
Salon 4
Session Type Icon

Let’s learn R by debugging the Currywurst!

Mihailo Joksimovic, Microsoft
14:15 - 15:00
Salon 3
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MLOps – from ML model to cloud-service: challenges and pitfalls of scalable document processing

Ward Van Laer, Ixor
15:00 - 15:30

Break

15:30 - 16:15
Salon 4
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Vector embedding AI in production systems

Jon Bratseth, Yahoo
15:30 - 16:15
Salon 3
Session Type Icon

Data as a Product: How To Develop Good Data Products

Bernd Fondermann, bernd fondermann brainlounge
16:15 - 16:45

Break

16:45 - 17:30
Salon 4
Session Type Icon

Leveraging Earth Observation Satellite images for Financial Industry

Fekete Csongor, HolistiCRM Kft.
16:45 - 17:30
Salon 3
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AI-powered learning recommendation system: a map and match approach

Khieu Nguyen, Visier Inc.
17:30 - 18:30

Expo Reception

Wed

30. Nov 2022
08:00 - 09:00

Conference Check- in

09:00 - 09:45
Salon 3
Session Type Icon

Warning: this is not another MLOps best practices talk

Amit Bendor, Artlist
09:00 - 09:45
Salon 4
Session Type Icon

Machine Learning Techniques for Estimating Science and Properties of Materials

Dr. Beauty Pandey, WOXSEN University Hyderabad
09:45 - 10:15

Break

10:15 - 11:00
Salon 4
Session Type Icon

Image Recognition: Past, Present and Future

Oliver Zeigermann, OPEN KNOWLEDGE GmbH
10:15 - 11:00
Salon 3
Session Type Icon

The importance and pitfalls of pseudonymization

Lisa Becker, ML6
11:00 - 11:30

Break

11:30 - 12:30
Salon 4
Session Type Icon

AMA (Ask Me Anything) Session

Dr. Pieter Buteneers, Sinch
Christoph Henkelmann, DIVISIO GmbH
Sebastian Meyen, Software & Support Media
12:30 - 13:30

Lunch

13:30 - 14:15
Salon 3
Session Type Icon

Practical Experiences from setting up the complete MLOps pipeline

Prof. Dr. René Brunner, Datamics / Professor an der Hochschule Macromedia
Eric Joachim Liese, BSH Home Appliances Group
13:30 - 14:15
Salon 4
Session Type Icon

So, what exactly is MLOps?

Mihailo Joksimovic, Microsoft
14:15 - 14:45

Break

14:45 - 15:30
Salon 3
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Dataset design for technically and legally clean ML development

Michael Osterrieder, vAIsual Inc
14:45 - 15:30
Salon 4
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How to write a good Training Script?

Christoph Henkelmann, DIVISIO GmbH
15:30 - 16:00

Break

16:00 - 16:45
Salon 4
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Creating a testing workbench for ML teams using just Python

Darshita Chaturvedi, Atri Labs
16:00 - 16:45
Salon 3
Session Type Icon

Data science without data: the cold start playbook

Alex Honchar, Neurons Lab

Thu

01. Dec 2022
08:00 - 09:00

Conference Check- in

09:00 - 12:30
Salon 4 WS
Workshop Type Icon

Feature Engineering and Feature Selection Workshop Part 1

Dr. Pieter Buteneers, Sinch
09:00 - 12:30
Salon 3 WS
Workshop Type Icon

AI/Deep Learning in marketing and finance Applications Workshop Part 1

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
09:00 - 12:30
Salon 6 WS
Workshop Type Icon

MLOps with MLFlow Workshop

Prof. Dr. René Brunner, Datamics / Professor an der Hochschule Macromedia
Saumya Goyal, Datamics GmbH
10:30 - 11:00

Break

12:30 - 13:30

Lunch

13:30 - 17:00
Salon 4 WS
Workshop Type Icon

Feature Engineering and feature Selection Workshop Part 2

Dr. Pieter Buteneers, Sinch
13:30 - 17:00
Salon 6 WS
Workshop Type Icon

Making Machine Learning Models Attack-Proof with Adversarial Robustness

Serg Masis, Syngenta
13:30 - 17:00
Salon 3 WS
Workshop Type Icon

AI/Deep Learning in marketing and finance Applications Workshop Part 2

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
15:00 - 15:30

Break

Fri

02. Dec 2022
08:00 - 09:00

Conference Check- in

09:00 - 12:30
Dorothensaal WS
Workshop Type Icon

Reinforcement learning and imitation learning using deep learning Workshop: Human and AI collaborations Part 1

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
09:00 - 12:30
Showroom WS
Workshop Type Icon

Image Recognition with OpenCV and TensorFlow Workshop

Tim Wüllner, OPEN KNOWLEDGE GmbH
Oliver Zeigermann, OPEN KNOWLEDGE GmbH
10:30 - 11:00

Break

12:30 - 13:30

Lunch

13:30 - 17:00
Showroom WS
Workshop Type Icon

Graph-Powered Machine Learning Workshop

Dr. Jörg Schad, ArangoDB
13:30 - 17:00
Dorothensaal WS
Workshop Type Icon

Reinforcement learning and imitation learning using deep learning Workshop: Human and AI collaborations Part 2

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
15:00 - 15:30

Break

 

ML Conference Mobile App

The ML Conference app simplifies the preparation before and during the conference:

  • People who don’t have a ticket yet, can also purchase it from the app
  • Participants get all the information on the schedule and can customize their program individually
  • All information about the speakers
  • “Information”: here you can find the location and room plan and can give feedback on the conference
  • Fast access to Twitter
  • All partners and sponsors at a glance
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Program ML Summit 2021