Predictive maintenance is a concept everyone talks about, but few are actually applying. Wärtsilä, an industry leading martitime & energy sector technology and power source company, executes a data-driven strategy
Machine learning for predictive maintenance can provide a detailed risk assessment of potential failure events, and highlight situations with elevated risk. Combine it with a network of IoT sensors in your mission-critical equipment and 5G connectivity, and you’ll be on your way towards more reliable operations.
Our Lead AI Scientist at Silo AI Sweden, Professor Slawomir Nowaczyk, has been working with the Volvo Group in Gothenburg, building machine learning-based self-monitoring systems trucks and buses.
We’re excited to get Kai Knuutila join our team as a Lead AI Solutions Strategist. Kai is a long-term digitalization and technology professional, with experience in leading teams in multiple technology areas ranging from software, hardware, semiconductors to IoT, wearables and AI. With a solid work experience of 22+ years, of which 17 spent at two technology giants Intel and Nokia, Kai is an experienced senior technology strategist and advisor.
Silo AI Sweden gets a strong addition to the team as Professor Slawomir Nowaczyk joins us as a Lead AI Scientist. Slawomir is also a Professor in Machine Learning at the Center for Applied Intelligent Systems Research (CAISR), School of Information Technology, Halmstad University, Sweden, and an experienced researcher in machine learning.
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