Seeq and AspenTech accelerate self-service industrial analytics on AWS

This article discusses how Seeq, a company that provides advanced analytics for process manufacturing industries, integrates with AspenTech's IP.21 industrial process historian and AWS services to enable self-service industrial analytics on the cloud.

Specifically, the article covers:

• Use cases and industry pain points addressed by the integration, such as enabling every expert to be an analyst, monitoring asset and process performance, optimizing production, balancing IT and OT strategies, building OT data lakes on Amazon S3, and leveraging machine learning on AWS.
• The solution architecture, which involves IP.21 operating on-premises, Seeq hosted on AWS, and a remote agent facilitating secure communication between the two.
• How the integration allows process experts, equipment experts, and data scientists to access and analyze data from IP.21 and other sources, scale calculations across assets, enrich data for ML, deploy and consume AWS services like Amazon Lookout for Equipment, and operationalize insights.
• The benefits of the integration, such as reducing maintenance costs, minimizing downtime, advancing sustainability and operational excellence goals, and enabling data-driven decision-making.