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 2022

Track Speakers Singapore 2021

Dr. Raul Rodriguez

Dr. Raul Rodriguez

Woxsen University
Zoha Rahman

Dr. Zoha Rahman

Centre For Big Data & Machine Learning
Sebastian Meyen

Sebastian Meyen

Software & Support Media
Dr. Rachid Kherrazi

Dr. Rachid Kherrazi

AKKA Netherlands B.V.
Dr. Tim Frey

Dr. Tim Frey

iunera GmbH & Co. KG
Håkan Silfvernagel

Håkan Silfvernagel

Miles Oslo AS

Track Speakers Munich 2023

Track Program Berlin 2022

Track Program Singapore 2021

Track Program Munich 2023

1
Feb

ChatGPT: The Big Disruptor?

For some time now, artificial intelligence that allows an image to be generated from a text input, has been more or less freely available. Well-known examples are OpenAI's DALL-E and Google's Imagen. Not too long ago, Stability.ai's DreamStudio.ai was released, which, unlike the other AIs, is completely open source.
Product thinking is a well-known and frequently discussed approach for developing software products. The prospect of using the same approach with data, though, is new. "Data as a product" is the key phrase and one of the four pillars of the data mesh architecture concept. But what does that actually mean? How can a company develop data products for both internal and external clients? What can we learn about this from relevant SW projects? And how do agility, warehouses, and...
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Bernd Fondermann
Bernd Fondermann
Bernd Fondermann
bernd fondermann brainlounge
Welcome:MLCON Berlin 2022 starts with a full programme on several tracks. We would like to welcome you, share important information about the conference schedule and take a look at the highlights of the day. Opening Keynote:Incorporating Machine Learning into a business strategy opens up fascinating new possibilities, but is anything but simple. We have seen far too many failed ML projects or prototypes that had no impact on the business. At the same time, if ML projects are approached the...
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Christoph Henkelmann
Christoph Henkelmann
Sebastian Meyen
Sebastian Meyen
Sebastian Meyen
Software & Support Media
Christoph Windheuser
Christoph Windheuser
Biomedical Data classification with machine learning for healthcare In this study we used Biomedical data/information that relates to human health. We acquired such data for monitoring specific pathological /physiological states for the purposes of diagnosis and evaluating therapy. The data were used for decoding and eventual modeling of specific biological systems. The acquisition of the study results from the Instrumentation at the molecular/cell level, or a systemic or organ level, Medical Imaging – Mobile/portable/wearable devices – Electronic health record. Automated...
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Zoha Rahman
Dr. Zoha Rahman
Dr. Zoha Rahman
Centre For Big Data & Machine Learning
Many companies are already using machine learning and artificial intelligence algorithms. However, winning a Kaggle competition is not enough, the decisive factors are not only to train the best fitting model. The time to market of the models are crucial. To improve the time to market consistently, an end-to-end MLOps process that are required to train, test, deploy, run, and monitor ML models is essential for a company’s success. Building such a MLOps pipeline is a complex journey as the...
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Prof. Dr. René Brunner
Prof. Dr. René Brunner
Prof. Dr. René Brunner
Datamics / Professor an der Hochschule Macromedia
Eric Joachim Liese
Eric Joachim Liese
Eric Joachim Liese
BSH Home Appliances Group
Machine learning is often hyped, but how does it work? In this workshop, Dr. Pieter Buteneers will show you hands-on how you can build your own machine learning models. We will cover basic machine learning concepts such as regression, classification, over-fitting, cross-validation, and many more. After the workshop, you will go home with the basics of machine learning so you can start off on your own projects.
The ML Con Strategy Day provides a unique opportunity to learn from experts what steps must be taken to build successful ML products. It provides an in-depth overview of the approaches ML pioneers and thought leaders use to develop amazing Machine Learning implementations: which know-how is needed, which methodologies are helpful, what technology choices must be made, and how to manage ML in production. Incorporating Machine Learning into a business strategy opens up fascinating new possibilities, but is anything but...
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Christoph Henkelmann
Christoph Henkelmann
Alex Honchar
Alex Honchar
Alex Honchar
Neurons Lab
Arif Wider
Arif Wider
Arif Wider
Thoughtworks Deutschland / HTW Berlin
Christoph Windheuser
Christoph Windheuser
Today’s world generates different kinds of data at unbelievably rapid rates. This has resulted in a shift away from traditional software development towards Data Science. This talk gives an overview of Data Science and delves deep into the pipeline data scientists use – right from fetching the data, the Python tools and frameworks used to creating models, gaining insights and telling a story. The session is aimed towards aspiring data scientists – hobbyists and professionals alike. Data-curious folks interested in...
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Grishma Jena
Grishma Jena
BeSpatial.AI solution leveraging AI, earth observation and sociodemographic data, as well as financial institutions’ internal data (segmentation labels) to enable financial services providers to better target digital and CRM campaigns promoting sustainable financing. BeSpatial.AI achieves this by giving a more complete understanding of specific financial attributes and risks associated with a given location through translating multi-dimensional geospatial data sources (including satellite images) into a single two-dimensional heatmap. This map will identify the locations where the best customers live and where...
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Fekete Csongor
Fekete Csongor
Fekete Csongor
HolistiCRM Kft.

Behind the Tracks