Enterprise

Seeq and Aveva partner on enterprise data management, analytics and AI


Seeq reported Oct. 16 that it’s natively integrating its data analytics software with Aveva’s Connect industrial intelligence software to simplify access to operational data in context, and enable users to improve their operations and production.

With the Connect platform serving as the central integration hub of a connected data ecosystem, their partnership lets Seeq users access operational data in Connect, accelerating time-to-insights and business value. Likewise, Aveva customers can use Seeq’s Industrial Analytics and AI Suite to power and scale analytical and monitoring use cases across their enterprises. With the ability to securely share data and insights with trusted ecosystem partners via Connect’s data services, the partnership also lets users gain insights beyond the walls of their enterprise, which is expected to further accelerating benefits across value chains. This combination of data management services, industrial analytics, AI and enterprise monitoring delivers new opportunities for data-driven innovations, including monitoring across plants, energy data exchange along the value chain, streamlined R&D collaboration, emissions data transparency and more.

“Our collaboration with Seeq makes it simpler and more intuitive for customers to operationalize industrial analytics by leveraging Seeq’s analytics and Connect’s data-sharing capabilities,” says Caspar Herzberg, CEO at Aveva. “Our combination enables the process industries to enhance data-driven decision-making to optimize operations and unlock new opportunities.”

Dr. Lisa Graham, CEO at Seeq, adds, “We’re pleased to co-innovate with Aveva to improve operational excellence, profitability and sustainability outcomes for industrial organizations. With more than half of Seeq’s customers already leveraging the seamless integration between Seeq and Aveva software, we have a proven track record of helping manufacturers address a variety of complex business challenges and drive digital transformation across the enterprise.”



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