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Generative AI takes maintenance to the next level

07 February, 2024

Senseye, the UK-based condition monitoring specialist acquired by Siemens in 2022, has added a generative AI (artificial intelligence) function to its predictive maintenance Software-as-a-Service (SaaS), making it more conversational and intuitive to use. Siemens says the development will make human-machine interactions and predictive maintenance faster and more efficient by enhancing proven machine-learning capabilities with generative AI.

Senseye Predictive Maintenance uses AI to generate machine and maintenance worker behaviour models, directing users’ attention and expertise to where it’s needed most. The new generative AI function will help users to extract knowledge from their machines and systems and to help boost the effectiveness of their maintenance workers.

Currently, machine and maintenance data are analysed by machine-learning algorithms and the platform presents notifications to users in static, self-contained cases. With little configuration, the new conversational user interface will introduce a new level of flexibility and collaboration. It facilitates conversations between users, AI and maintenance experts, streamlining the decision-making process.

One Senseye customer that is planning to use the new generative AI capability is the Australian steel-maker, BlueScope. “Senseye Predictive Maintenance has been more than a tool; it’s a catalyst for change in our organisation,” reports the company’s digital transformation manager, Colin Robertson. “The innovative generative AI functionality from Siemens will help to accelerate our efforts to scale knowledge-sharing across our global teams and will continue to support our ambitious digital transformation strategy.”

The generative AI can scan and group cases, even in multiple languages, and seek similar past cases and their solutions to provide context for current issues. It can also process data from different maintenance software. For security, all information is processed in a private cloud environment, protected against external access. This data will not be used to train any external generative AI.

Data does not need to be high-quality for the generative AI to turn it into actionable insights. With little to configure, it also uses maintenance protocols and notes from previous cases to help increase user knowledge.

Siemens says that adding generative AI to predictive maintenance will deliver tangible benefits for manufacturers. By enabling faster and easier maintenance decisions, it will increase productivity, promote sustainability and accelerate digital transformation. It also addresses skills shortages, because it captures expert knowledge from the ageing workforce. In doing so, it empowers less experienced shop-floor workers, making them more effective.

“By harnessing the power of machine learning, generative AI, and human insights, we’re taking Senseye Predictive Maintenance to the next level,” says Margherita Adragna, CEO of customer services for Siemens Digital Industries. “The new functionality makes predictive maintenance more conversational and intuitive – helping our customers to streamline maintenance processes, enhance productivity and optimize resources. This marks an important milestone in countering skill shortage and supporting our customer’s digital transformation.”

Senseye’s new generative AI capability makes predictive maintenance conversational.

The new generative AI function will be available from spring for all Senseye users.

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