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 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.
Speaker
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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