Embassy of Things Inc. (EOT) has fully released its AI Edge Controller on May 26, which enables the use of trained machine learning (ML) models to perform real-time predictions and anomaly detection at the edge of operation centers and uses closed-loop, event-response operational action to instantly avoid expensive downtime and increase production output.

“EOT is excited to deliver an essential breakthrough for making self-optimizing industrial plants a reality by closing the loop of analyzing operational data in the cloud and operationalizing AI insights at the edge in collaboration with AWS, Xecta, TensorIoT and CTG,” Matt Oberdorfer, CEO and president of EOT, said.


EOT Platform (Source: Business Wire)

During the training phase of ML models, large data sets of sensors are needed to optimize their prediction quality. This requires significant compute and storage power which is only available in the cloud. However, the need for anomaly detection and self-optimization occurs at the operational edge where there is no compute, storage, or internet connection. EOT’s AI Edge Controller’s patent-pending technology serves as a bridge by delivering the rather small, trained ML models from the cloud to the edge. This is where EOT’s Twin Talk’s Operational Insight Engine streams real-time operational data through the trained ML models to instantly detect equipment abnormalities, diagnose issues, reduce false alerts, self-optimize production and avoid expensive downtime by acting before machine failures occur.

“We are collaborating with EOT to leverage AI Edge Controller and TwinTalk as a part of the AWS production operations solution suite to support customers in their efforts to add incremental production, visualize and minimize rogue emissions and reduce lease operating expenses," Sid Bhattacharya, worldwide head of energy solutions at Amazon Web Services, said. "EOT’s solution is a significant leap in operational technology modernization—it helps customers make business-critical decisions real-time as opposed to the traditional reactive approach.”

AWS’s Production Monitoring and Surveillance solution is a Production Data Lake and Edge Software that liberates operational data from legacy SCADA and Historian infrastructure to deliver real-time production and equipment surveillance, GHG emissions monitoring, and predictive maintenance.

TensorIoT is an EOT Strategic Alliance Partner delivering complete end-to-end products and solutions in IoT, data engineering, machine learning, and artificial intelligence.

CTG delivers digital solutions across the oil and gas industry that accelerate digital transformation.

Xecta’s cloud-first digital platform utilizes a fusion of AI, domain physics, and modern computing to solve complex engineering problems related to operational optimization at scale that enable energy operators to create extraordinary operational and capital efficiency.