Hi Ben! For advanced analytics for OT I recommend looking into SparkCognition, an AI growth company, based out of Austin, TX. You may have seen us at PGI or the Connected Plant conference but we have an offering of deployed machine learning-based solutions that improve operational reliability through predictive and prescriptive maintenance. A few relevant resources below:
Scalable enterprise AI solutions for predictive and prescriptive maintenance:
SparkPredict: Predictive alerting to nuanced and previously unknown equipment failure modes based on asset-centric modeling (high-accuracy anomaly detection and clustering, normal behavior modeling, pattern matching). SparkPredict provides additional evidence and diagnostics for each predicted outcome and can be configured to provide insights for various user types including management, engineers, and SMEs. With SparkPredict, customers have been able to take significant steps towards realizing value from their digital transformation efforts in a sustainable way.
DeepNLP: Natural Language Processing platform that offers prescriptive insights from previously untouched data in maintenance logs, user manuals, notes, emails, etc. DeepNLP brings meaning and context to these types of unstructured data and will make recommendations on the optimal action to take in order to fix an asset problem. This technology is helping to document and make reusable all the tribal knowledge that exists in operations teams and is improving the outcomes of work orders.
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