How to Develop a Low-Cost, Open Source Machine Learning Solution Using Ignition

30 min video  /  1 minute read



Ivana Šenk

Machine Learning Expert

Enuda AB

The benefits of applying machine learning in complex industrial systems can be immense, and Enuda has found an open-source approach using Ignition that can give the benefits of ML at a low cost. In this session, you'll learn how they did it by exploring their considerations, testing (and failures), as well as why they decided on using a combination of Docker, Flask framework, and Ignition to create their solution. The session will include an example using the chosen environment for a practical case, and advice on how to get started with machine learning and Ignition.

Posted on November 9, 2021