Machine Learning Unleashed

Machine (Deep) Learning should be discussed looking at the following different aspects:

  • How does it work?
  • Which technological approaches and engineering techniques were chosen?
  • Which external and internal factors influence the result?


Based on real projects we share our experiences in the area of machine (deep) learning, and try to dive into discussions together about the technique in order to learn from each other as well as deepen our personal knowledge about machine learning.

Impressions from this Event

Testimonails from Host


Date & Time

4th May 2017 – 8:30AM to 1:30PM, incl. Lunch

Host & Location

Ergon Informatik AG,  Merkurstrasse 43, CH-8032 Zürich

Group Size

max. 20


People who have a general interest in the application of cognitive computing and would also like to know how the engineering of such an application works. Further, people who would like to start a machine learning project and would like to learn about the most important factors for a successful realization of such projects.




Adrian Berger

Adrian is the MD Finance Solutions, dipl. Computer Science ETH and member of the executive at Ergon Informatik AG.
He has been heading the department for Finance Solutions for more than 10 years. In this capacity, he has helped building the security competence of Ergon and initiated the repurchase of the Airlock family. Currently he is developing the finance solutions department further, and is invested in compiling and applying the best possible digitization strategies for his clients.