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AI Model Collection & Distributed training -Theory from a users perspective

Content

The last years we have spent a lot of time developing our new AI/Machine learning models. This education is both a theoretical walk through as well as pointing out what it means for the user.

At the session we will also share the experiences we have learned so far, for example for which forecast series do we see the biggest improvements.
How can you as a user of Aiolos benefit from this?
You will improve your forecasts if you learn how to use Aiolos to handle the different forecasting models that are available within the system. This is a great possibility to learn more about our AI/ML-models and also how to work with them in a good way on a daily basis.

KEY NOTES

  • Weighting between multiple models and evaluate and optimize result

  • Distributed training of AI-models. How does it work and what it means for Aiolos in practical.

How to sign up

As an Educandi member you will get invitations by e-mail.
You can accept the invitation directly or in your calendar. If you
haven´t got an invitation please contact marie.ek@vitecsoftware.com

Presenters

Christer Modin, Head of Model development

Frej Stjärnborg, Application Consultant

 





Earlier Event: June 21
Tips and Tricks
Later Event: October 13
Indata Control 2.0 - one step further