We asked our Head of AI Solutions Alexander Finn to sum up the signs that indicate the need to start building a full-blown MLOps infrastructure and processes. Alexander is an
Machine learning operations, MLOps, is the organizational practice for operationalizing AI and accelerating ML development in a sustainable way. Once you’ve validated a couple of AI use cases by pilots and proofs-of-concept, scaling the development and the use of AI in your organization will require both a solid machine learning infrastructure and an aligned way of operating.
The future of the papermaking process is data-driven. This can already be seen today in the collaboration between Kemira, the global chemicals company serving customers in the pulp and paper industry, and Silo AI, the largest private AI lab in the Nordics. The two companies are today announcing their collaboration, which has already resulted in a predictive AI-driven solution taken into production in board and paper production.
Removing the background with an unmatched quality – How Kuvatilaus.fi and Silo AI use the latest methods in computer vision for flawless results.
Anna Mossberg is Silo AI Sweden’s new Managing Director. Anna is an experienced business leader and a digital transformation professional, who has a strong background in driving digitalization initiatives in telecommunications and finance.
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.
Webinar recap: Computer vision for situational awareness.
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