Lower Total Cost of Ownership
System operators, analysts, and app builders want condition prediction and do not like to be dependent on external data science specialists. Black box approaches are brittle, and whatever results they may produce will not be easily believed. To be successful, artificial intelligence solutions for Industrial, IoT, and IT Operations need to be incremental and adaptive so that system owners can manage their insertion into operations and gradually scale investment based on value created.
That is why Falkonry has created a pre-packaged, scalable artificial intelligence that can be adopted and grown over time and in an agile manner. The conceptual foundation of this service is called Guided Learning.
Mass adoption of Pattern Recognition for Operations
Guided Learning is a pragmatic alternative to data science projects that:
- Can start from time series data alone – without any prior system or condition knowledge
- Can incorporate guidance from an expert or guide
- Can provide feedback and explanations to the guide to aid their actions
- Can provide best available results in real-time while learning continues
Customers have deployed Falkonry Software for process optimization and downtime reduction. In this presentation, Scott Schemmel, CIO of Ciner Resources and Jolene Baker, SMART Plant Lead of Ciner Wyoming, describe how they are using pattern recognition to improve plant production and push back on the effects of declining ore quality.