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.
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.
In the first 30 minutes we will go over:
1. Role of ML models in maintenance
2. Exchange of predictive models produced by data mining
3. Main ML algorithms and tools
4. Model deployment and model management
5. A step-by-step example
The webinar session will then be followed by a 20-minute Q&A session.
2. Exchange of predictive models produced by data mining
3. Main ML algorithms and tools
4. Model deployment and model management
5. A step-by-step example
The webinar session will then be followed by a 20-minute Q&A session.
More and more companies get an edge by intelligently employing their data. Do you want to know how to lead your organisation through this transformation in the right way? Attend this webinar and find out!
