Program

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

PROGRAM OF ML CONFERENCE MUNICH 2020

Workshop Type Icon

Machine Learning 101++ Using Python

Dr. Pieter Buteneers, Chatlayer.ai
Session Type Icon

Scaling Machine Learning Systems up to Billions of Predictions per Day

Carmine Paolino, OLX Group
Session Type Icon

Applying Machine Learning Online at Scale

Jon Bratseth, Verizon
Session Type Icon

NLU in Other Languages

Burak Isikli, Turkcell
Session Type Icon

Production nightmare of building AI systems at scale – The last mile

Dr. Danish Rafique, TerraLoupe GmbH
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)
Session Type Icon

AI for Decision Makers

Uri Eliabayev, Machine & Deep Learning Israel
Workshop Type Icon

Data Science From Research to Production With Jupyter, Kubeflow & Nuclio

Or Zilberman, Iguazio
Session Type Icon

Building Smarter Solutions With No Expertise in Machine Learning

Laurent Picard, Google
Shorttalk Type Icon

Let’s Talk About Security Issues in Today’s ML Systems

David Glavas, Technical University of Munich (TUM)
Session Type Icon

AutoML, the Good, the Bad and the Why

Jan Mulkens, Ahead with Data
Workshop Type Icon

Curating Quality Datasets for Machine Learning

Jigyasa Grover, Twitter, Inc.
Rishabh Misra, Twitter, Inc.
Shorttalk Type Icon

Back to Basics: Approaches to Machine Learning

Jigyasa Grover, Twitter, Inc.
Session Type Icon

Interpretable Machine Learning – Application to Finance and Banks

Prof. Debjyoti Paul, Amazon
Workshop Type Icon

Reinforcement Learning and Imitation Learning Workshop

Dr. Neda Navidi, AIR (AI Redefined)
Session Type Icon

Predicting Hotel Cancellations With Machine Learning: Classification and Time Series Analysis

Michael Grogan, MGCodesandStats
Session Type Icon

Developing a Match-Making Algorithm Between Customers and Go-Jek Products!

Gunjan Dewan, Go-Jek
Session Type Icon

Real, Fake and Deepfake: How Deep Learning Messed up Customer (Re)Identification and How It Will Fix It

Dr. Luca Marchesotti, Beautifeye - Spaces
Shorttalk Type Icon

Simply Ask – Natural Language Query Interface

Ayelet Arditi, Sisense
Session Type Icon

Protecting AI Solutions From Attacks

Alexander Polyakov, Independent Researcher
Shorttalk Type Icon

Pool or Patio? Define Customer Needs With AI

Michael Siebers, Holidu
Shorttalk Type Icon

How Knowledge Graph Based Recommendations are Boosting our Natural Language Querying Engine

Dr. Yael Lev, Sisense
Session Type Icon

An Introduction to Natural Language Generation

Christoph Henkelmann, DIVISIO
Session Type Icon

Transforming business with AI – from vision to strategy to execution

Dr. Guy Yachdav, Artiio
Shorttalk Type Icon

Fraud analysis and prevention in retail with Machine Learning

Alexander Isaenco, WaveAccess RD-Software GmbH
 

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
google-play-1    . appstore_logo_black