Seeq Corporation announced the Seeq Process Health Solution for advanced process monitoring and diagnostics at the 2023 ARC Industry Forum. This innovative solution leverages advanced analytics and machine learning to address high value, complex process manufacturing challenges related to production, quality and optimization, per its maker.
The Seeq Process Health Solution leverages advanced analytics enhanced by new machine-learning technology, to fulfill these demands. The new solution, which includes Seeq ML, a no-code multivariate pattern-learning and diagnostic technology, promises to 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 leverage their domain expertise and process knowledge, without any prior machine learning experience, to 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 benefit from accessing Seeq ML add-on capabilities and multivariate visualizations from within Seeq’s advanced-analytics platform. Templated solution workflows also enable teams to quickly identify issues and root causes and accelerate improvements in process performance.
“Placing advanced multivariate, machine learning capabilities directly in the hands of frontline process experts and decisions makers aligns perfectly with the Seeq machine-learning strategy,” said Mark Derbecker, chief product officer at Seeq. “Providing the Process Health Solution within the Seeq self-service, advanced analytics platform will enable organizations to gain insights and take transformational actions within hours.”
