Free Webinar in English

Analytical and Machine Learning Models on Live Streaming Data

Date: 14/07/2020       Time: 11:30-12:30 (CET)         Location: Online
Main machine learning algorithms and tools to improve maintenance operations

Points covered in the first 40 minutes:

  •  Role of machine learning models in maintenance
  • Exchange of predictive models produced by data mining
  • Main machine learning algorithms and tools
  • Model deployment and model management
  • A step-by-step example

The webinar session is followed by a 20-minute Q&A session

Machine leaarning models in maintenance to detect asset failures early

Machine Learning Models in Maintenance

Machine learning (ML) models have proven to enhance the operations of a number of industries. Maintenance is not an exception.

In this webinar we will look at how you can deploy ML models that recognise asset and process degradations or failures early and how to connect and deploy these machine learning models to streaming data.



Jules Oudmans - Director Consultancy - UReason

Jules Oudmans - Director Consultancy

Jules Oudmans is one of the co-founders of UReason, a provider of technology products and services enabling companies to quickly create intelligent applications that automate complex reasoning on large quantities of real-time data and events. Jules is a seasoned professional active in the field of operational intelligence and real-time analytics.

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Check out more of our events

If you enjoyed this content, check out more of our webinars on several topics related to Asset Performance Management!

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