Seeq announces process health solution with machine learning
Seeq Corporation has announced its Seeq Process Health Solution for advanced process monitoring and diagnostics at the 2023 ARC Industry Forum, an annual manufacturing conference focused on the acceleration of digitalisation, sustainability and energy transition initiatives. The company says the solution leverages advanced analytics and machine learning to address high-value, complex process manufacturing challenges related to production, quality and optimisation.
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 includes Seeq ML, a no-code multivariate pattern learning and diagnostic technology, to help monitor complex manufacturing processes and optimise 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. Seeq says engineers and process experts benefit from accessing Seeq ML add-on capabilities and multivariate visualisations from within Seeq’s collaborative 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 decision-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 organisations to gain insights and take transformational actions within hours.”
Seeq customers include companies in the oil and gas, pharmaceutical, chemical, energy, power and utility, mining, food and beverage, pulp and paper, and other process industries.
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