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SAS and ClearBlade are helping operations managers in asset intensive industries, like manufacturing, oil & gas, and transportation, to maximize OT equipment effectiveness by unlocking the value of streaming data. 
The partners are using artificial intelligence (AI) and machine learning on IoT connected assets to empower operational technology (OT) leaders to access, analyze and act on streaming data at the Edge and in the Cloud without depending on IT and data scientist support.
SAS and ClearBlade announced their partnership during the IoT SLAM ‘22 being held live this week at SAS world headquarters in Cary, North Carolina.
The SAS and ClearBlade partnership aims to create a way to converge IT and OT by simplifying the delivery of AI and machine learning in edge computing environments. The solution is intended to:
- Enable OT leaders to gain visibility about inefficiencies, failures, and anomalies by using the cloud and industrial IoT (IIoT) edge computing so that they can make better decisions at the edge.
- Improve edge application scaling by applying AI to IIoT data in a tiered fashion.
- Ease IT reliance by employing a no-code approach to configure applications and business logic in operational environments.