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InnoNet: Cybersecurity & AI in the Energy Sector

Theme: Encryption, data collaboration and maintenance with AI-Powered Predictive Maintenance.

Energy Cluster Denmark and INCUBA are hosting us on the 18th floor of the newly opened INCUBA Next in the IT City in Aarhus.

Here, Partisia, one of the leading companies within cybersecurity, specifically data sharing via MPC, will open up about their technology, which makes it possible to calculate data while it is encrypted so that results can be shared. This makes it possible to create confidential data collaborations between different actors, including competitors, where calculations can be made on the common data base and only results are shared - without the underlying data being shared. Partisia's platform makes it possible to perform common statistical calculations, but also more advanced calculations towards a full AI trained model for optimisation calculations.

Siana will present their intuitive, AI-powered Predictive Maintenance technology, designed to eliminate unplanned downtime in critical machines. Siana's technology monitors rotating equipment (pumps, motors, etc.) and predicts breakdowns before they occur. With a high level of usability, the solution can be installed and used without prior knowledge of the field, thanks to AI. The presentation will show how energy companies can practically improve reliability, extend machine lifetime and reduce maintenance costs through AI-powered Predictive Maintenance.

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