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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
Hero
ICC 2021 How to Develop a Low-Cost, Open Source Machine Learning Solution Using Ignition
Thumbnail
ICC 2021 How to Develop a Low-Cost, Open Source Machine Learning Solution Using Ignition
Video Duration
1797

Speakers

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Ivana Šenk

Machine Learning Expert

Enuda AB

ICC Year
2021.00