Highlights of the real-life AI-driven solutions that we have built with our customers
Machine Learning Operations, or MLOps, is a set of systems, tools, and practices that enables the deployment and operation of machine learning pipelines in production in a repeatable and trusted manner.
Together with Körber, Silo AI has developed a visual quality solution for inspection machines to control the quality of Covid19 vaccine ampoules.
Kemira is now using an explainable AI solution to predict and prevent issues with paper and board quality and paper machine runnability. Our AI experts built a machine learning-driven solution that provides real-time predictions to a status dashboard.
Together with Tekniska Verken, we developed a robotics and computer vision-based solution that learns from each defect, and continuously improves the level of automation.
Canadian scenario generation company Riskthinking.AI and Silo AI co-created an AI solution to automatically extract climate risk data. We built a natural language processing-powered solution, that brings out insights related to one consequence of climate change: the rise of sea level.
In close collaboration with Helen, our experts developed an AI solution that predicts energy consumption levels based on historical data and local weather forecasts, reducing errors by a third.
Silo AI teamed up with intelligent port platform company Awake.AI to develop machine learning and computer vision -powered AI solutions that improve the situational awareness at ports.
Silo AI helped Finnair build a solution that improved situational awareness of air traffic, enabling the airline to predict possible disruptions to air traffic more accurately.
Together with Ramboll, a leading Nordic engineering consultancy, we developed a machine learning-based solution for optimizing chemicals during the water treatment process.
Together with HSY, we developed a machine learning-powered solution to improve pipe maintenance by predicting possible blockages.
Finland is a pioneering digitized pharmacy service. We collaborate with Apodigi, a front runner in the digitalization of the pharmacy business to create smart solutions for pharmacies and consumers.
Machine learning and computer vision offers tremendous opportunities for modern healthcare technology. Together with the healthcare technology company Philips, we developed computer vision-driven solutions.
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