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

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

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

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

Program

ML Conference 2019
The Conference for Machine Learning Innovation
December 9 - 11 | Berlin

Program Berlin 2019

Mon

09. Dec 2019
08:00 - 09:00

Conference Check-In

09:00 - 17:00
Salon 10
Workshop Type Icon

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

Jeremy Wilken, Design for Voice
09:00 - 17:00
Salon 1
Workshop Type Icon

Machine Learning 101++ using Python [SOLD OUT]

Jeroen Boeye, Faktion
Joris Boeye, ZF Wind Power
09:00 - 17:00
Salon 6+7
Workshop Type Icon

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

Dr. Christian Hidber, bSquare AG
Oliver Zeigermann, embarc
09:00 - 17:00
Salon 8+9
Workshop Type Icon

Essential Workshop to Exploratory Data Analysis and Feature Engineering

Aleksandr Mester, WaveAccess
Vladimir Rybakov, WaveAccess
10:30 - 11:00

Coffee Break

12:30 - 13:30

Lunch

15:00 - 15:30

Coffee Break

Tue

10. Dec 2019
08:00 - 09:00

Conference Check-In

09:00 - 09:45
Saal A+B
Keynote Type Icon

Robots and Ethics in the digital Age

Dr. Janina Loh, University of Vienna, Faculty of Philosophy and Education
09:45 - 10:15

Coffee Break

10:15 - 11:00
Salon 1
Session Type Icon

Continuous Delivery for Machine Learning Applications with Open Source Tools

Daniel Schruhl, ThoughtWorks Germany
Christoph Windheuser, ThoughtWorks Germany
10:15 - 11:00
Saal A+B
Session Type Icon

Deep Learning: the final Frontier for Time Series Analysis?

Oleksandr Honchar, Neurons Lab / Mawi Solutions
10:15 - 11:00
Salon 8+9
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Honey Bee Conservation using Deep Learning

Thiago da Silva Alves, JArchitects
11:15 - 11:35
Salon 1
Shorttalk Type Icon

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

Ismail Yildiz, TURKCELL
11:15 - 12:00
Saal A+B
Session Type Icon

Privacy-preserving Machine Learning

Nicolas Kuhaupt, Fraunhofer IEE
11:15 - 12:00
Salon 8+9
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Market Segmentation in the Era of Big Data

Özge Sahin, SciScry
11:40 - 12:00
Salon 1
Shorttalk Type Icon

Developing ML for Trustworthy AI

Peter Seeberg, asimovero.AI
12:00 - 13:30

Lunch

13:30 - 14:00
Saal A+B
Keynote Type Icon

Data to the Rescue! Predicting and Preventing Accidents at Sea

Dr. Yonit Hoffman, Windward
14:15 - 15:00
Saal A+B
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Understanding how Neural Networks work by looking at the Low Level API of TensorFlow 2

Oliver Zeigermann, embarc
14:15 - 14:35
Salon 1
Shorttalk Type Icon

How to Identify Collaborators in large Codebases using Unsupervised Learning

Waren Long, source{d}
14:15 - 15:00
Salon 8+9
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How to raise intelligent Chatbots, keep them smart and make them useful

Hans-Peter Kuessner, adesso AG
Jens Polster, adesso AG
14:40 - 15:00
Salon 1
Shorttalk Type Icon

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

Carsten Breithaupt, Lufthansa
Sebastian Kern, Capgemini Deutschland GmbH
15:00 - 15:30

Coffee Break

15:30 - 15:50
Saal A+B
Shorttalk Type Icon

Explainable AI with Machine Teaching

Murat Vurucu, Latentine GmbH
15:30 - 16:15
Salon 8+9
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How We Used Machine Learning to Detect Stress among our Berlin Colleagues

Matthias Hofmaier, Novatec Consulting GmbH
15:30 - 16:15
Salon 1
Session Type Icon

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

Steven Bourke, Outfittery
15:55 - 16:15
Saal A+B
Shorttalk Type Icon

Building emotionally intelligent Machines

Srividya Rajamani, Siemens Healthineers
16:30 - 16:50
Salon 1
Shorttalk Type Icon

First Steps to Interpretable Machine Learning

Natalie Beyer, LAVRIO.solutions GmbH
16:30 - 17:15
Saal A+B
Session Type Icon

Next generation AI: Emotional Artificial Intelligence based on audio

Dagmar Schuller, audEERING GmbH
16:55 - 17:15
Salon 1
Shorttalk Type Icon

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
Saal A+B
Keynote Type Icon

Voice and Identity

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

Wed

11. Dec 2019
08:00 - 09:00

Conference Check-In

09:00 - 09:45
Salon 1
Session Type Icon

Asynchronous and version-controlled data science with Jupyter notebooks

Juha Kiili, Valohai
09:00 - 09:45
Saal A+B
Session Type Icon

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

Prof. Adam Blum, Auger.AI
09:45 - 10:15

Coffee Break

10:15 - 11:00
Saal A+B
Session Type Icon

Case Study: Making the Most out of a Doomed Project

Vladimir Rybakov, WaveAccess
10:15 - 11:00
Salon 6+7
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Voice Assistants for Customer Support based on Deep Learning

Thomas Abend, VITAS.ai
10:15 - 11:00
Salon 8+9
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MediaPipe: Building real-time cross-platform (mobile, web, edge, desktop) Video Audio ML Pipelines

Ming Yong, Goolge Inc
11:15 - 12:00
Saal A+B
Session Type Icon

Client-side Artificial Intelligence in JavaScript using Tensorflow.js

Mathias Burger, TNG Technology GmbH
11:15 - 12:00
Salon 8+9
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Automatic Image Cropping for Online Classifieds: a Journey from a Master Thesis to Production

Alexey Grigorev, OLX Group
12:00 - 13:30

Lunch

13:30 - 14:00
Session Type Icon

Human / AI Interaction Loop Training as a New Approach for Interactive Learning With Reinforcement-Learning Agents

Dr. Neda Navidi, AIR (AI Redefined)
14:15 - 15:00
Saal A+B
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Dockerize, Standardize, Deploy and Scale your own Machine Learning Model

Jens Beyer, LAVRIO.solutions GmbH
14:15 - 15:00
Salon 8+9
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From Paper to Product – How we implemented BERT

Christoph Henkelmann, DIVISIO
14:15 - 15:00
Salon 1
Session Type Icon

Delivering Rocketfuel – Pipelines für Deep Learning mit Small Data

Hauke Brammer, Novatec Consulting GmbH
15:00 - 15:30

Coffee Break

15:30 - 16:15
Saal A+B
Session Type Icon

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

Dr. Andreas Bühlmeier, DBC Enterprise IT Consulting
15:30 - 16:15
Salon 8+9
Session Type Icon

Speeding up Last-Mile Delivery with AI

Samar Singla, Jungleworks
 

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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