Program
ML Conference 2019
The Conference for Machine Learning Innovation
December 9 - 11 | Berlin
Program Preview:
08:00 - 09:00
Conference Check-In
09:00 - 17:00
09:00 - 17:00
Machine Learning 101++ using Python
Dr. Pieter Buteneers, Chatlayer.ai
09:00 - 17:00
09:00 - 17:00
10:30 - 11:00
Coffee Break
12:30 - 13:30
Lunch
15:00 - 15:30
Coffee Break
08:00 - 09:00
Conference Check-In
09:00 - 09:45
Robots and Ethics in the digital Age
Dr. Janina Loh, University of Vienna, Faculty of Philosophy and Education
10:00 - 10:45
Continuous Delivery for Machine Learning Applications with Open Source Tools
Daniel Schruhl, ThoughtWorks Germany
Christoph Windheuser, ThoughtWorks Germany
10:00 - 10:45
10:00 - 10:45
Deep Learning: the final Frontier for Time Series Analysis?
Oleksandr Honchar, Neurons Lab / Mawi Solutions
10:45 - 11:15
Coffee Break
11:15 - 11:35
11:15 - 12:00
11:15 - 12:00
11:40 - 12:00
Developing ML for Trustworthy AI
Peter Seeberg, asimovero.AI
12:00 - 13:30
Lunch
14:15 - 15:00
14:15 - 14:35
14:40 - 15:00
AI for EA: How Artificial Intelligence facilitates Enterprise Architecture at Lufthansa
Carsten Breithaupt, Lufthansa
Dr. Eldar Sultanow, Capgemini Deutschland GmbH
15:00 - 15:30
Coffee Break
15:30 - 15:50
Explainable AI with Machine Teaching
Murat Vurucu, Latentine GmbH
15:30 - 16:15
How We Used Machine Learning to Detect Stress among our Berlin Colleagues
Matthias Hofmaier, Novatec Consulting GmbH
15:30 - 16:15
15:55 - 16:15
Building Emotionally Intelligent Machines
Srividya Rajamani, Siemens Healthineers
16:30 - 16:50
First Steps to Interpretable Machine Learning
Natalie Beyer, LAVRIO.solutions Beyer ML UG
16:30 - 17:15
Privacy Preserving Machine Learning
Nicolas Kuhaupt, Fraunhofer IEE
16:55 - 17:15
Everything you need to know about Security Issues in today’s ML Systems
David Glavas, Technical University of Munich (TUM)
17:15 - 19:45
Evening Event
18:15 - 18:45
08:00 - 09:00
Conference Check-In
09:00 - 09:45
09:00 - 09:45
09:45 - 10:15
Coffee Break
10:15 - 11:00
10:15 - 11:00
Delivering Rocketfuel – Pipelines für Deep Learning mit Small Data
Hauke Brammer, Novatec Consulting GmbH
11:15 - 12:00
Client-side Artificial Intelligence in JavaScript using Tensorflow.js
Mathias Burger, TNG Technology GmbH
12:00 - 13:30
Lunch
14:15 - 15:00
Dockerize, Standardize, Deploy and Scale your own Machine Learning Model
Jens Beyer, LAVRIO.solutions Beyer ML UG
14:15 - 15:00
15:00 - 15:30
Coffee Break
15:30 - 16:15
All You Need to Know now about (Deep) Reinforcement Learning
Dr. Andreas Bühlmeier, DBC Enterprise IT Consulting
15:30 - 16:15
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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