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AVEVA collaborates with Microsoft for Industrial AI assistant

AVEVA

With Microsoft’s solutions and AVEVA’s deep industry expertise and software, businesses can capitalize on the power of technology to become more agile, resilient and environmentally sustainable. AVEVA is actively co-innovating with Microsoft.

Reinforcing collaboration with Microsoft, AVEVA has previewed its industrial AI assistant, which will be available to view live on the show floor at Hannover Messe next week. The industrial AI assistant, running on Microsoft Azure OpenAI Service, is a virtual subject matter expert driving the Industry 5.0 revolution. It represents a paradigm shift in how industrial organizations answer complex questions in mission-critical environments. 

AVEVA’s AI assistant acts as a virtual expert, simplifying the vast task of extracting insights from scattered data sets to answer complex, multi-stage questions. Industrial teams can take advantage of large language models (LLM) and generative AI through an intuitive interface that leverages AVEVA’s 50+ years of expertise in industrial software and analytics. 

Rob McGreevy, CPO, AVEVA, said, “Our industrial AI assistant draws on integrated data combined with the highest levels of security and expertise so that customers can confidently interrogate their information in real time. All of this is available and scalable with Microsoft through our CONNECT intelligence platform.”

Matt Kerner, CVP, Microsoft said, “Bringing together the AI and cloud capabilities of Microsoft Azure with AVEVA’s expertise in industrial AI has the power to transform how industries can operate at scale. With the intuitive AI assistant interface, it’s easier for operators and executives to benefit from insights, interrogate results and optimize performance.” By leveraging the customer’s industrial data and a LLM with the power of AVEVA’s AI capabilities, the user can ask our industrial AI assistant natural language questions with minimal setup required. The user can also ask objective-driven questions which means more complex, multi-step requests can be completed in one single action.

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