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How to Develop a Low-Cost, Open Source Machine Learning Solution Using Ignition
Samantha Crawford
Tue, 11/09/2021 - 12:10
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.
Wistia ID
buvgucjjen
Topic
Industry
Hero
Thumbnail
Video Duration
1797
Featured in Sort
Off
Subtype
Speakers
Ivana Šenk
Machine Learning Expert
Enuda AB
ICC Year
2021.00