The technology is set for release in coming months and will enable offshore wind farm operators to access up-to-the-minute information on critical metrics, identify potential maintenance needs, and proactively manage the performance of their turbines.
The direct engagement will transform how operational data is handled, offering an intuitive approach to data-driven decision-making that can detect and predict issues before they impact performance, enhancing both productivity and longevity of offshore assets.
“This development represents a significant leap in digital transformation for offshore wind” said Thomas Humphries, CTO at Cognitive Business. “Our Virtual Engineer is designed to deliver actionable insights and support operators as they navigate the complexities of maintaining optimal energy generation. Integrating Cognitive's advanced machine learning with A.I. enables real-time operator interaction, as such we’re enabling a new level of efficiency in offshore wind farm management.”
Virtual Engineer builds on Cognitive’s existing A.I. technology to make complex data understandable and usable. Through an intuitive interface, operators can ask questions about asset health, energy output, maintenance timelines, and more. The tool's ability to process vast datasets and deliver relevant, actionable answers in real time positions it as a transformative asset in the journey toward efficient and sustainable energy production.
The innovation marks the company’s latest commitment to accelerating renewable energy solutions with AI-driven insights, keeping offshore wind farms efficient, reliable, and forward-looking.
Established in 2018, Cognitive Business offers a comprehensive suite of data and machine learning-based solutions to help energy industry clients improve decision support, performance monitoring and predictive maintenance of equipment.
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