ONLY UNTIL MAY 23: ✓ Save up to 305€ ✓ Team Discount ✓ Access to devmio

ONLY UNTIL MAY 23: ✓ Save up to 305€ ✓ Team Discount ✓ Access to devmio

Limited Time offer: ✓ Save up to $950 ✓ Free ML Strategy Day ✓ Access to devmio

Limited Time offer: ✓ Save up to $950 ✓ Free ML Strategy Day ✓ Access to devmio

COMING UP NEXT: MLCon Munich | June 25 – 28, 2024

COMING UP NEXT: MLCon Munich | June 25 – 28, 2024

MLCON 2022 BERLIN ARCHIVE

Session Type Icon

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

Leonard Püttmann, onetask.ai // kern.ai
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
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
Session Type Icon

Vector embedding AI in production systems

Jon Bratseth, Yahoo
Session Type Icon

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

Prof. Debjyoti Paul, Amazon
Session Type Icon

Dataset design for technically and legally clean ML development

Michael Osterrieder, vAIsual Inc
Session Type Icon

AMA (Ask Me Anything) Session

Pieter Buteneers,
Christoph Henkelmann, DIVISIO GmbH
Sebastian Meyen, Software & Support Media
Session Type Icon

Data as a Product: How To Develop Good Data Products

Bernd Fondermann, bernd fondermann brainlounge
Session Type Icon

Creating a testing workbench for ML teams using just Python

Darshita Chaturvedi, Atri Labs
Session Type Icon

How to write a good Training Script?

Christoph Henkelmann, DIVISIO GmbH
Session Type Icon

Leveraging Earth Observation Satellite images for Financial Industry

Fekete Csongor, HolistiCRM Kft.
Session Type Icon

Holistic Voice Application Monitoring: How to sleep well every night

Holistic Voice Application Monitoring: How to sleep well every night,
Session Type Icon

Let’s learn R by debugging the Currywurst!

Mihailo Joksimovic, Microsoft
Session Type Icon

So, what exactly is MLOps?

Mihailo Joksimovic, Microsoft
Session Type Icon

Data science without data: the cold start playbook

Alex Honchar, Neurons Lab
Session Type Icon

MLOps – from ML model to cloud-service: challenges and pitfalls of scalable document processing

Ward Van Laer, Ixor
Session Type Icon

AI-powered learning recommendation system: a map and match approach

Khieu Nguyen, Visier Inc.
Session Type Icon

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

Ioannis Tsamardinos, JADBio
Session Type Icon

Image Recognition: Past, Present and Future

Oliver Zeigermann, OPEN KNOWLEDGE GmbH
Workshop Type Icon

Graph-Powered Machine Learning Workshop

Graph-Powered Machine Learning Workshop,
Workshop Type Icon

Machine Learning 101++ Using Python Workshop

Pieter Buteneers,
Session Type Icon

The importance and pitfalls of pseudonymization

Lisa Becker, ML6
Workshop Type Icon

Feature Engineering and feature Selection Workshop Part 2

Pieter Buteneers,
Workshop Type Icon

Making Machine Learning Models Attack-Proof with Adversarial Robustness

Serg Masis, Syngenta
Workshop Type Icon

Feature Engineering and Feature Selection Workshop Part 1

Pieter Buteneers,
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
Session Type Icon

Warning: this is not another MLOps best practices talk

Amit Bendor, Artlist
Session Type Icon

Machine Learning Techniques for Estimating Science and Properties of Materials

Dr. Beauty Pandey, WOXSEN University Hyderabad
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
Workshop Type Icon

Image Recognition with OpenCV and TensorFlow Workshop

Tim Wüllner, OPEN KNOWLEDGE GmbH
Oliver Zeigermann, OPEN KNOWLEDGE GmbH
Workshop Type Icon

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

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
Workshop Type Icon

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

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
Workshop Type Icon

MLOps with MLFlow Workshop

Prof. Dr. René Brunner, Datamics / Professor an der Hochschule Macromedia
Saumya Goyal, Datamics GmbH