Workshop: Machine Learning for Real-World Applications

Olaf Erichsen and Jorge Chacon

Frequently, companies are presented with flashing Machine Learning (ML) demos that only seem to be ready for production but miscalculate the requirements to have an ML system with a long and prosperous life. The aim of an ML prototype is to prove that an algorithm can do a better (cheaper or faster) job than alternative solutions. However, moving ML prototypes into production readiness needs different skill sets, architectures, and data integration strategies since in real-world applications scalability, performance, and operational cost-efficiency are key business-value drivers that will not come by prototype design.

The goal of our workshop is to show the differences between ML prototypes and ML real-world applications in general. In later workshops, the goal will be to evaluate the technical feasibility, implementation time and costs of ML ideas created and presented by the participants.

Olaf Erichsen is Managing Director and shareholder of several companies (Founder of Heldenkombinat Technologies GmbH using artificial intelligence (machine learning). For Passage AI he is currently building up the European business including operations.

Jorge has extensive experience in data science projects with text, audio and visual data. He has developed Reinforcement Learning Models for FinTech and E-Commerce learning through direct customer interaction and implements Al solutions for industry as co-founder and CTO of Heldenkombinat Technologies GmbH.

He is a reviewer for the Journal of Computer Speech and Language and was one of the chairs of the organizing committee of ICANN-2014, the European flagship conference on artificial neural networks.

Jorge received a BEng double degree in Mechanics and Electricity from Benemerita Universidad Autonoma de Puebla (Mexico), an MSc degree in Artificial Intelligence from the University of Groningen (Netherlands), and is currently completing a PhD degree in Computational Neuroscience from the University of Hamburg.

The workshop is free of charge, will take place on
24.03.2020 at Dockland 5. Floor,
Van-der-Smissen-Strasse 9, 22767 Hamburg.
The workshop will be held in English.

Please send an e-mail to if you want to join the workshop.

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