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

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

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

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

Program

ML Conference 2021
The Conference for Machine Learning Innovation
June 21 – 23, 2021 | Munich

The program of ML Conference Munich 2021 will be announced soon! Stay tuned for more information.

PROGRAM OF ML CONFERENCE MUNICH 2021

All time slots are displayed in the Central European Time.
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Machine Learning 101++ Using Python

Dr. Pieter Buteneers, Sinch
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Streamlining your Machine Learning Projects using MLOps with Azure Machine Learning

Sam Vanhoutte, Codit
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Stopping Public Transport Coronavirus Infections with Big Data

Dr. Tim Frey, iunera GmbH & Co. KG
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Why Security is Important in ML and How to Secure your ML-based Solutions

Dr. Rachid Kherrazi, Akka Technologies
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Leveraging Reinforcement Learning for Improvement of Traditional Controllers for a Vehicle Model – A Case Study

Christoph Stockhammer, The MathWorks GmbH
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Machine Learning on the Edge using TensorFlow Lite

Håkan Silfvernagel, Miles AS
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Pre-Moderation – The Safe Sandbox for your Community

Christian Dedié, gutefrage.net GmbH
Dr. Katsiaryna Stalpouskaya, gutefrage.net GmbH
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Efficient Transformers

Christoph Henkelmann, DIVISIO
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Enhancing Page Visits by Topic Prediction

Dieter Jordens, Continuum Consulting NV
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The Bigger the Better for NLP – or not?

Dr. Maximilian Junker, Qualicen
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Lean Data Science: Tailoring Agile Practices for Data Science Projects

Askhat Urazbaev, ScrumTrek
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Unsupervised Category-Specific Mesh Reconstruction: A Future ML Opportunity

Thomas Chen, Academy for Mathematics, Science, and Engineering
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Federated Learning: The Next Generation Machine Learning for Regulated Domains – Healthcare and Banking

Prof. Debjyoti Paul, Amazon
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“S” in IoT stands for Security

Mirko Ross, asvin.io
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MLOps: DevOps für Machine Learning

Hauke Brammer, finpair GmbH
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Algorithmic Diversity & Nonbinarity. How to Reimagine Ability, Tech & Ethics

Yonah Walker, Yonah Fund
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The Missing Link: How AI can help us harness our “collective intelligence” to better societies and businesses

Kamila Hankiewicz, Untrite
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Brewing Beer with the Help of IoT: Building a DIY Fermentation Sensor

Sven Haiges, SAP Hybris
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Customer-Centric IoT-Based Ecosystems

Prof. Wolfgang Henseler, SENSORY-MINDS GMBH
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IoT and eSports – Learning for the industry in your spare time

Dr. Tobias Brambach, Point 8 GmbH
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Natural language processing for medical data

Anja Pilz, damedic
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AIoT – Die Verbindung zwischen AI und IoT beherrschen!

Laurenz Kirchner, mm1
Dr. Dirk Slama, Bosch Software Innovations
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Understanding Artificial Intelligence: Explainable AI with Interpretable KPI Labels

Dr. Rudolf Felix, PSI FLS Fuzzy Logik & Neuro Systeme GmbH
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Machine Learning: The Bare Math Behind Libraries

Piotr Czajka, TomTom
Łukasz Gebel, TomTom
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Building Smarter Solutions with no Expertise in Machine Learning

Laurent Picard, Google
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Essential Workshop to Exploratory Data Analysis and Feature Engineering

Aleksandr Mester, WaveAccess
Vladimir Rybakov, WaveAccess
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Transforming Business with AI – From Vision to Strategy to Execution

Dr. Tatyana Goldberg, Allianz
Dr. Guy Yachdav, Aiola
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Workshop: Conception and design of customer-centric IoT ecosystems

Prof. Wolfgang Henseler, SENSORY-MINDS GMBH
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Unsupervised Learning with Autoencoders

Christoph Henkelmann, DIVISIO

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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