Real Added Value from ML Projects - Our Success Factors

Petar Tomov and Philipp Jackmuth

The progress made in machine learning (ML) in the last 10-15 years is so impressive that many companies in Germany have now also set up their own departments for this area. We have had the privilege of supporting some of these companies in recent years, for example in the transfer of proof-of-concepts (POCs) to production.

In our upcoming webinar, Philipp Jackmuth (Managing Director of dida) and Dr. Petar Tomov (Machine Learning Project Manager) will share their experiences on the decisive factors that distinguish successful from failed ML projects.

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21 questions we ask our clients: Starting a successful ML project


Project proposals - the first step to a successful ML project

The planning of a project
Recorded Talks

NLP trend: profitably integrating neural language models into business practice