Points covered in the first 40 minutes:
- How historical data, stored in your process historians, can be turned into value
- What data you need to build real-time condition monitoring and predictive solutions
- What process you should follow to achieve results
- How you can deploy your findings on real-time (streaming) data
The webinar session is followed by a 20-minute Q&A session
Creating Predictive Models to Prevent Asset Outage
Your assets have a plethora of data collected and stored, ready for you to use to its best potential. Historical data from your assets can be of great value to identify dysfunctions and upsets early. But how do you use this data to optimise current processes and detect issues early so that you can improve asset integrity and availability?
In this webinar, we show you how you can use historical data and apply it to creating effective predictive models for your assets.
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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