ML Conference

Machine Learning Business & Strategy

Systems for machine learning are structured differently than conventional software systems. Developers and software architects have to rethink their approaches and break new ground. The foundation for this is a deep understanding of the potential of machine learning and what added value it can generate for your company. In the “Machine Learning Business & Strategy” track, experts present the basics of machine learning systems using practical examples to show you what you can achieve and what may not yet be possible.

Business & Strategy

Systems for machine learning are structured differently than conventional software systems. Developers and software architects have to rethink their approaches and break new ground. The foundation for this is a deep understanding of the potential of machine learning and what added value it can generate for your company. In the “Machine Learning Business & Strategy” track, experts present the basics of machine learning systems using practical examples to show you what you can achieve and what may not yet be possible.

The program of ML Conference Munich 2020 will be announced soon! As reference, please see the program of ML Conference Berlin 2019 below.

Track Speakers Berlin 2019

Sebastian Meyen

Sebastian Meyen

Software & Support Media
Jens Polster

Jens Polster

adesso AG
Dev Sen

Dev Sen

Cinelytic
Anja Pilz

Anja Pilz

damedic
Juha Kiili

Juha Kiili

Valohai
Prof. Dr. René Brunner

Prof. Dr. René Brunner

Datamics / Professor an der Hochschule Macromedia
Eric Joachim Liese

Eric Joachim Liese

BSH Home Appliances Group
Peter Seeberg

Peter Seeberg

asimovero.AI
Frank Schmidt-Küntzel

Frank Schmidt-Küntzel

Telefónica Germany
Matthias Hofmaier

Matthias Hofmaier

Novatec Consulting GmbH
Christian Dedié

Christian Dedié

gutefrage.net GmbH
Dr. Katsiaryna Stalpouskaya

Dr. Katsiaryna Stalpouskaya

gutefrage.net GmbH
Hauke Brammer

Hauke Brammer

DeepUp GmbH
Yonah Walker

Yonah Walker

Yonah Fund
Thomas Chen

Thomas Chen

Academy for Mathematics, Science, and Engineering
Mirko Ross

Mirko Ross

asvin.io
Uri Eliabayev

Uri Eliabayev

Machine & Deep Learning Israel
Dr. Raul Rodríguez

Dr. Raul Rodríguez

Woxsen University
Danilo Dresen

Danilo Dresen

taod Consulting GmbH
Natalie Beyer

Natalie Beyer

LAVRIO.solutions GmbH
Dr. Tim Frey

Dr. Tim Frey

iunera GmbH & Co. KG
Oliver Neubauer

Oliver Neubauer

TOP seven GmbH & Co. KG
Truc Le

Truc Le

Agoda Company Pte. Ltd.
Jeff Blankenburg

Jeff Blankenburg

Amazon Alexa
Fekete Csongor

Fekete Csongor

HolistiCRM Kft.
Murat Vurucu

Murat Vurucu

Latentine GmbH
Dr. Rachid Kherrazi

Dr. Rachid Kherrazi

AKKA Netherlands B.V.
Pia Eggert

Pia Eggert

Freelancer
Jim Tonge

Jim Tonge

VUI.agency
Jan Mulkens

Jan Mulkens

Ahead with Data
Belinda Sykora

Belinda Sykora

UdK Berlin
Dr. Janina Loh

Dr. Janina Loh

University of Vienna, Faculty of Philosophy and Education
Samar Singla

Samar Singla

Jungleworks
Alex Polyakov

Alex Polyakov

Adversa.AI
Alex Honchar

Alex Honchar

Neurons Lab
Arif Wider

Arif Wider

Thoughtworks Deutschland / HTW Berlin
Dr. Rudolf Felix

Dr. Rudolf Felix

PSI FLS Fuzzy Logik & Neuro Systeme GmbH
Sebastian Kern

Sebastian Kern

Capgemini Deutschland GmbH
Dr. Dirk Slama

Dr. Dirk Slama

Bosch Software Innovations
Waren Long

Waren Long

source{d}
Prof. Wolfgang Henseler

Prof. Wolfgang Henseler

SENSORY-MINDS GMBH

Track Program Berlin 2019

Track Speakers Berlin 2022

Prof. Dr. René Brunner

Prof. Dr. René Brunner

Datamics / Professor an der Hochschule Macromedia
Eric Joachim Liese

Eric Joachim Liese

BSH Home Appliances Group
Fekete Csongor

Fekete Csongor

HolistiCRM Kft.

Track Speakers Singapore 2021

Track Speakers Munich 2022

Dr. Rachid Kherrazi

Dr. Rachid Kherrazi

AKKA Netherlands B.V.
Oliver Neubauer

Oliver Neubauer

TOP seven GmbH & Co. KG
Danilo Dresen

Danilo Dresen

taod Consulting GmbH
Hauke Brammer

Hauke Brammer

DeepUp GmbH
Mirko Ross

Mirko Ross

asvin.io
Frank Schmidt-Küntzel

Frank Schmidt-Küntzel

Telefónica Germany

Track Program Berlin 2022

Track Program Singapore 2021

Track Program Munich 2022

Track Sessions ML Con Singapore 2022

Track Sessions ML Con Singapore 2022

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Track Sessions ML Con Berlin 2021

Track Sessions ML Con Berlin 2021

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Practical Experiences from setting up the complete MLOps pipeline

Prof. Dr. René Brunner, Datamics / Professor an der Hochschule Macromedia
Eric Joachim Liese, BSH Home Appliances Group
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Session Type Icon

Practical Experiences from setting up the complete MLOps pipeline

Prof. Dr. René Brunner, Datamics / Professor an der Hochschule Macromedia
Eric Joachim Liese, BSH Home Appliances Group

Track Sessions ML Con Munich 2022

Track Sessions ML Con Munich 2022

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Behind the Tracks