This partnership aims to use machine learning and advanced analytics to reduce costs and increase production output by transforming how industrial customers manage and visualize their legacy operational data. The agreement extends EOT’s TwinFusion portfolio of products, providing industrial customers with faster root cause analysis and resolution with point-and-click navigation across multi-dimensional asset data visualizations.
“Our collaboration with AWS represents a commitment to an AI-enhanced future,” Matt Oberdorfer, founder and CEO of EOT, said in a press release. “By infusing AI capabilities to optimize industrial assets, we're pioneering a gold standard in operational accuracy, predictive efficiency, and sustainability.”
EOT and AWS will, as part of their agreement, connect SCADA systems and historians to AI-ready cloud historians and digital twins and create an enterprise-wide Digital Twin Graph Asset Model combining information from operational, engineering, and transactional sources into a single unified data architecture. Deliver advanced decision-making through enhanced navigation of operational and asset model insights.
“EOT is a trusted AWS Partner using AWS’s deep set of functionalities, proven reliability, and enhanced security,” said Alan Braun, Director, Service Acceleration at AWS. “We are delighted to be collaborating with them to provide AWS and EOT customers with a pre-built, easy to use, and fast to launch edge-to-cloud IoT industrial data hub that allows customers to spend their time focused on outcome driven ML use cases.”
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