Seeq Corporation, a supplier of manufacturing and industrial internet of things advanced analytics software, announced the company's Seeq Process Health Solution for advanced process monitoring and diagnostics at the 2023 ARC Industry Forum. This solution leverages advanced analytics and machine learning to address high value, complex process manufacturing
challenges related to production, quality and optimization.
As the process industries continue to invest in digital transformation initiatives to increase profitability and sustainability, the demand for easy-to-use solutions that rapidly derive value from time series data grows in parallel. The Seeq Process Health Solution leverages advanced analytics, enhanced by new machine learning technology, to help fulfill these demands. The new solution, which includes Seeq ML, a no code multivariate pattern learning and diagnostic technology, helps empower organizations to monitor complex manufacturing processes and optimize key performance indicators in near real time for batch and continuous processes.
With the Process Health Solution, users can better leverage their domain expertise and process knowledge, without any prior machine learning experience, to help improve their discovery, detection and diagnosis of process performance issues. The new solution extends Seeq’s current capabilities for connecting data, teams and insights across a spectrum of analytics and machine learning. Engineers and process experts can benefit from accessing Seeq ML add-on capabilities and multivariate visualizations from within Seeq’s collaborative advanced analytics platform designed for ease-of-use. Templated solution workflows also help to enable teams to more quickly identify issues and root causes and accelerate improvements in process performance.