The term manufacturing company normally brings to mind images of large industrial plants with thousands of workers. However, small family-owned businesses make up the largest proportion of the sector. According to AMT – The Association for Manufacturing Technology, 97% of the manufacturing firms in the United States have less than 500 employees, and 73% have
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AI4EU is a European Union Artificial Intelligence project which aims to bring together the AI community and facilitate knowledge transfer from research to business application. It provides an experiments platform that promotes the sharing and deployment of AI models. In 2021, Viking Analytics has been selected by AI4EU as a solution provider in AI technologies.
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The Industrial Internet of Things (IIoT) market is in the early stages of a growth curve comparable to the evolution of the mobile telephony, especially when it comes to IIoT vibration sensors. In this scenario, is the current business model of keeping systems closed compatible with the future of IIoT? We believe sensor expansion will inevitably lead
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Viking Analytics was one of the winders of the Ignite Awards 2021. In a ceremony on November 29th, the company received the Ignite B2B Engagement 2021, which recognizes startups that have met more corporations during the year. The startup’s unique AI-based predictive maintenance software has been key to addressing needs from both Swedish and international
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Detecting and monitoring operational modes in a machine is a very effective way of getting a precise view of the asset’s health conditions. In a machine, different operational modes can reflect different usages, a production process, an on-off state, or a developing failure. But besides reflecting the overall state of the machine, Mode Identification can
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Viking Analytics was one of the winners of the 2020 edition of the ABB Electrification Virtual Startup Challenge, that invited startups to compete in a ten-day challenge to create safer, smarter, and more sustainable solutions in the electrical energy sector. In the joint project that followed the competition, Viking Analytics and ABB explored the possibilities
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One of the fundamentals of condition monitoring is being able to trust the data you get from your sensors. Normally, there is a set of checks that an IIoT installation goes through to become fully functional, like connectivity and authentication tests to ensure that the sensor is in the right operational state or, in other
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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, 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, 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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