Program
ML Conference 2019
The Conference for Machine Learning Innovation
December 9 - 11 | Berlin
Program Preview:
AI for EA: How Artificial Intelligence facilitates Enterprise Architecture at Lufthansa
Carsten Breithaupt, Lufthansa
Dr. Eldar Sultanow, Capgemini Deutschland GmbH
Client-side Artificial Intelligence in JavaScript using Tensorflow.js
Mathias Burger, TNG Technology GmbH
Continuous Delivery for Machine Learning Applications with Open Source Tools
Daniel Schruhl, ThoughtWorks Germany
Christoph Windheuser, ThoughtWorks Germany
Deep learning: the final frontier for time series analysis?
Oleksandr Honchar, Neurons Lab / Mawi Solutions
Delivering Rocketfuel – Pipelines für Deep Learning mit Small Data
Hauke Brammer, Novatec Consulting GmbH
Developing ML for Trustworthy AI
Peter Seeberg, asimovero.AI
Dockerize, Standardize, Deploy and Scale your own Machine Learning Model
Jens Beyer, LAVRIO.solutions Beyer ML UG
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
First Steps to Interpretable Machine Learning with SHAP
Natalie Beyer, LAVRIO.solutions Beyer ML UG
Machine Learning 101++ using Python
Dr. Pieter Buteneers, Chatlayer.ai
Privacy Preserving Machine Learning
Nicolas Kuhaupt, Fraunhofer IEE
The Development of (Deep) Reinforcement Learning
Dr. Andreas Bühlmeier, Dr. Bühlmeier Consulting
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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