Program

ML Conference 2020
The Conference for Machine Learning Innovation
June 17 - 19 | Munich

The program of ML Conference Munich 2020 will be announced soon! As reference, please see the program of the next ML Conference in Berlin below.

PROGRAM OF ML CONFERENCE BERLIN 2019

Conversational Design Workshop: Build awesome Chatbots and Voice Assistants [SOLD OUT]

Jeremy Wilken, Design for Voice

Robots and Ethics in the digital Age

Dr. Janina Loh, University of Vienna, Faculty of Philosophy and Education

Machine Learning 101++ using Python

Dr. Pieter Buteneers, Chatlayer.ai

Everything you need to know about Security Issues in today’s ML Systems

David Glavas, Technical University of Munich (TUM)

Explainable AI with Machine Teaching

Murat Vurucu, Latentine GmbH

Understanding how Neural Networks work by looking at the Low Level API of TensorFlow 2

Oliver Zeigermann, embarc

Developing ML for Trustworthy AI

Peter Seeberg, asimovero.AI

First Steps to Interpretable Machine Learning

Natalie Beyer, LAVRIO.solutions GmbH

Modern Workflows and Tools for Machine Learning in Production

Eero Laaksonen, Valohai

Dockerize, Standardize, Deploy and Scale your own Machine Learning Model

Jens Beyer, LAVRIO.solutions GmbH

Real-life Revenue generating Image/Video Processing Use Cases in Telco Sector

Ismail Yildiz, TURKCELL

Continuous Delivery for Machine Learning Applications with Open Source Tools

Daniel Schruhl, ThoughtWorks Germany
Christoph Windheuser, ThoughtWorks Germany

Privacy-preserving Machine Learning

Nicolas Kuhaupt, Fraunhofer IEE

Client-side Artificial Intelligence in JavaScript using Tensorflow.js

Mathias Burger, TNG Technology GmbH

Generative Media – an emerging Industry.

Xander Steenbrugge, ML6

All You Need to Know now about (Deep) Reinforcement Learning

Dr. Andreas Bühlmeier, DBC Enterprise IT Consulting

How to Identify Collaborators in large Codebases using Unsupervised Learning

Waren Long, source{d}

Case Study: Making the Most out of a Doomed Project

Vladimir Rybakov, WaveAccess

From Paper to Product – How we implemented BERT

Christoph Henkelmann, DIVISIO

Speeding up last-mile Delivery with AI

Samar Singla, Jungleworks

Market Segmentation in the Era of Big Data

Özge Sahin, SciScry

Delivering Rocketfuel – Pipelines für Deep Learning mit Small Data

Hauke Brammer, Novatec Consulting GmbH

Predictive Maintenance – how does Data Science revolutionize the World of Machines?

Victoriya Kalmanovich, Navy

Deep Learning: the final Frontier for Time Series Analysis?

Oleksandr Honchar, Neurons Lab / Mawi Solutions

Human / AI Interaction Loop Training as a new Approach for interactive Learning with Reinforcement-Learning Agents

Dr. Neda Navidi, AIR (AI Redefined)

AI for EA: How Artificial Intelligence facilitates Enterprise Architecture at Lufthansa

Carsten Breithaupt, Lufthansa
Dr. Eldar Sultanow, Capgemini Deutschland GmbH

Building emotionally intelligent Machines

Srividya Rajamani, Siemens Healthineers

How We Used Machine Learning to Detect Stress among our Berlin Colleagues

Matthias Hofmaier, Novatec Consulting GmbH

AI is eating Software – how Second Generation AutoML will replace Software Development

Prof. Adam Blum, Auger.AI

Hands-on Workshop: Reinforcement Learning with TF-Agents & TensorFlow 2.0 [SOLD OUT]

Dr. Christian Hidber, bSquare AG
Oliver Zeigermann, embarc

Essential Workshop to Exploratory Data Analysis and Feature Engineering [SOLD OUT]

Aleksandr Mester, WaveAccess
Vladimir Rybakov, WaveAccess

Automatic Image Cropping for Online Classifieds: a Journey from a Master Thesis to Production

Alexey Grigorev, OLX Group

Building Human-in-the-Loop Machine Learning Systems – Fashion 2.0

Steven Bourke, Outfittery

Next generation AI: Emotional Artificial Intelligence based on audio

Dagmar Schuller, audEERING GmbH

Data to the Rescue! Predicting and Preventing Accidents at Sea

Dr. Yonit Hoffman, Windward

How to raise intelligent Chatbots, keep them smart and make them useful

Hans-Peter Kuessner, adesso AG

MediaPipe: Building real-time cross-platform (mobile, web, edge, desktop) Video Audio ML Pipelines

Ming Yong, Goolge Inc

Voice and Identity

Aude Gouaux-Langlois, UdK Berlin
Belinda Sykora, UdK Berlin

Honey Bee Conservation using Deep Learning

Thiago da Silva Alves, JArchitects
 

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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