Sessions

ML Conference 2018
The Conference for Machine Learning Innovation
December 5 - 7 in Berlin

Sessions ML Conference December 2018

DAY 1
05. Dec 2018
10:15 - 11:15
Saal A+B

AI for Business – Experiences and Benchmarks

Ulrich Bodenhausen, Ulrich Bodenhausen AI Coaching
10:15 - 11:15
Salon 1

ML in Industries: Best Practices, Customer Experiences, and Lessons Learnt

Susanne Nosky, SAP
10:15 - 11:15
Salon 6+7

How to be heard? – A Conversational-First Approach to Marketing

Dr. Christoph Esslinger, VUI.agency
Patrick Esslinger, VUI.agency
11:30 - 12:30
Salon 10

Forecasting: Machine Learning vs Classical Statistics – Which path to choose?

Philipp Beer, sciScry
11:30 - 12:30
Salon 8+9

Machine Learning in the Browser

Athan Reines, stdlib
11:30 - 12:30
Saal A+B

Build smarter apps with Machine Learning, from magic to reality

Laurent Picard, Google
11:30 - 12:30
Salon 6+7

Game Changers: Where Voice Assistants find their place in games

Florian Hollandt, Jovo
14:30 - 15:30
Saal A+B

Too many ideas, too little data – How to overcome the cold start problem when building data driven products and services

Markus Nutz, freeyou AG
Thomas Pawlitzki, freeyou AG
16:00 - 17:00
Saal A+B

Search: The Silver Bullet of Symbolic AI and the Secret of AlphaGo Zero

Oliver Zeigermann, embarc
17:15 - 18:15
Saal A+B

How we built a job recommender SaaS with Deep Learning to disrupt the job market!

Laurent Sorber, radix.ai
DAY 2
06. Dec 2018
09:00 - 10:00
Saal A+B

Text classification and NLP on star wars characters

Natalie Beyer, Lavrio.solutions
09:00 - 10:00
Salon 4+5

Parameter Servers Suck, All Hail Horovod: Distributed Learning Technology Overview

Ruksi Laine, Valohai
09:00 - 10:00
Salon 6+7

Multi-Modal Voice Development with Amazon Alexa

Ralf Eggert, Travello GmbH
10:30 - 11:30
Saal A+B

Man & Machines: The Dreamteam for your intelligent Marketing Strategy

Kathleen Jaedtke, HubSpot
Tina Nord, EyeEm
10:30 - 11:30
Salon 4+5

Deep Recommendation Systems for real Personalization

SK Reddy, Hexagon
10:30 - 11:30
Salon 6+7

Designing for Voice

Stacy Colella, TsaTsaTzu
Jo Jaquinta, TsaTsaTzu
11:45 - 12:45
Salon 4+5

Deeplearning4J by Example

Paul Dubs, Paul Dubs IT Consulting
11:45 - 12:45
Saal A+B

An Introduction to Clustering Algorithms

Christoph Henkelmann, DIVISIO
11:45 - 12:45
Salon 6+7

How to build cross-platform voice apps for Amazon Alexa and Google Assistant

Jan König, Jovo
14:45 - 15:45
Saal A+B

Why robotics is HARD.

Xander Steenbrugge, ML6
14:45 - 15:45
Salon 4+5

Helping Pacman beat the ghosts with deep Q learning

Marc Päpper, ProAdly
14:45 - 15:45
Salon 6+7

Embed Google Assistant into your own devices

Jeremy Wilken, Design for Voice
16:15 - 17:15
Saal A+B

Winning a kaggle competition in 2015

Dr. Pieter Buteneers, Robovision
16:15 - 17:15
Salon 6+7

Creating a Google Action with Python

Jochen Emig, ONSEI GmbH