Viking Analytics, Author at Viking Analytics

Times they are a-changin’ in predictive maintenance

Predictive maintenance, despite its measurable results and successes, has been suffering from lack of scalability. Models designed and trained for a given machine with a particular set of sensors often had to be retrained before being used with other similar machines. In addition, the quantity and variety of machines in a factory makes developing, training,

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Viking Analytics enters frame agreement with ABB

Viking Analytics, a Swedish startup in the field of advanced analytics for predictive operations, has signed a frame agreement with ABB. The scope of the agreement is the development of data-powered monitoring of strategic assets and marks a new stage in the collaboration between the companies following the ABB Electrification Virtual Startup Challenge 2020. In

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Viking Analytics and pour-tech AB sign contract to provide AI operators to iron foundries

Viking Analytics, a Swedish startup in advanced analytics solutions for predictive operations, and pour-tech AB, specialized in automatic pouring systems, announced a partnership to offer AI operators to iron foundries. The solution, named EASYpour, uses data analytics and machine learning algorithms developed by Viking Analytics to automatically adjust the pouring process, improving product quality, enabling

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Viking Analytics wins ABB Electrification Virtual Startup Challenge

Viking Analytics was selected the winner of ABB Electrification Virtual Startup Challenge in the Distribution Solutions category. Fourteen companies from Europe, USA, Canada, Israel and India participated in the challenge. In the competition, startups were invited to compete in a ten-day challenge, in which they should use digital technologies to create safer, smarter and more

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Viking Analytics joins the IBM Accelerator Program

Viking Analytics is very proud to join the IBM Accelerator Program Sweden. In the next months, we will work together to integrate and establish a sales partner program to MultiViz through IBM Ecosystem and RedHat marketplace. “This is a major step for Viking Analytics, as it relates directly to our scalability and attests to the

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In the media: Ensuring a solid base for predictive operations and condition monitoring

Digital manufacturing is forecasted to bring out massive changes to the industrial world. Today, regardless of the maturity level of digitization projects in each company, the main motivation is staying competitive, boosting revenues, and enhancing profits, while reducing costs and being agile. There are several ways through which an industry can engage in Industry 4.0,

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Viking Analytics and iioote introduce new AI-based product for early detection of black mold

Viking Analytics, a Swedish provider of advanced analytics solution for predictive operations, and iioote, an IoT solution provider and LoRA Alliance member, presented today a new solution that uses Artificial Intelligence (AI) to detect the early onset of black mold (Stachybotrys chartarum) in buildings. Integrated into iioote’s technology agnostic platform WebIoT, the algorithm developed by

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Viking Analytics and Bharat Forge Kilsta start collaboration in data-driven production quality project

Viking Analytics, a Swedish provider of advanced analytics solutions for predictive operations, and Bharat Forge Kilsta AB, one of the world’s largest forging suppliers, began collaborating in a data-driven production quality project. In the next months, Viking Analytics will prepare a detailed assessment of the data collected by sensors installed in the oven that heats

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