What would it mean to your organization if you could predict component quality issues or failures before they happen?
The Internet Of Things (‘IoT’) has enabled the capture of critical data in real-time across workflow components in many industries. This webinar will guide you through the process used by Freya Systems when predicting component failure for the defense aviation industry.
Chris MacNeel, Senior Data Scientist, will walk you through:
- How to avoid common pitfalls when designing analytics projects
- How to organize your data for predictive maintenance and equipment operations
- How to deliver an algorithm in a production environment
- How to monitor your performance and communicate your success
Using analytics, data scientists can combine data across data sources and rapidly identify problems, discover root causes, predict future performance, and automate actions to continuously improve quality, ease compliance and reduce unnecessary costs.
It’s time to put your data to work.
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