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

Dr. Tim Frey

Dr. Tim Frey

iunera GmbH & Co. KG
Sebastian Meyen

Sebastian Meyen

Software & Support Media
Fekete Csongor

Fekete Csongor

HolistiCRM Kft.
Dr. René Brunner

Prof. Dr. René Brunner

Datamics / Professor an der Hochschule Macromedia
Eric Joachim Liese

Eric Joachim Liese

BSH Home Appliances Group
Håkan Silfvernagel

Håkan Silfvernagel

Miles Oslo AS
Dr. Rachid Kherrazi

Dr. Rachid Kherrazi

AKKA Netherlands B.V.
Dr. Raul Rodriguez

Dr. Raul Rodriguez

Woxsen University
Zoha Rahman

Dr. Zoha Rahman

Centre For Big Data & Machine Learning

Track Program Berlin 2019

Track Speakers Berlin 2022

Fekete Csongor

Fekete Csongor

HolistiCRM Kft.
Sebastian Meyen

Sebastian Meyen

Software & Support Media
Dr. René Brunner

Prof. Dr. René Brunner

Datamics / Professor an der Hochschule Macromedia
Eric Joachim Liese

Eric Joachim Liese

BSH Home Appliances Group

Track Speakers Singapore 2021

Sebastian Meyen

Sebastian Meyen

Software & Support Media
Zoha Rahman

Dr. Zoha Rahman

Centre For Big Data & Machine Learning
Dr. Tim Frey

Dr. Tim Frey

iunera GmbH & Co. KG
Dr. Rachid Kherrazi

Dr. Rachid Kherrazi

AKKA Netherlands B.V.
Dr. Raul Rodriguez

Dr. Raul Rodriguez

Woxsen University
Håkan Silfvernagel

Håkan Silfvernagel

Miles Oslo AS

Track Speakers Munich 2022

Dr. Tim Frey

Dr. Tim Frey

iunera GmbH & Co. KG

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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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