SKF and Amazon Web Services Inc. (AWS), an Amazon.com Inc. company, are collaborating to reinvent the field of industrial machine reliability and predictive maintenance with a joint solution. The engagement will deliver an easy-to-scale condition monitoring and analysis solution, making the ability to collect and analyze data using machine learning technologies available to a broader range of applications and customers. SKF will combine its knowledge of rotating machinery and predictive maintenance with AWS's Industrial AI services.
"The key to maximizing the business value of machine data lies in scale," said John Schmidt, president industrial region Americas of SKF. "With more condition monitoring tools available for a wider variety of their assets, end-users will gain more insights leading them to improved machine performance."
Vasi Philomin, vice president of AI services at AWS, added: "AWS's engagement with SKF spotlights how machine learning technologies, combined with the scalability of the AWS cloud and condition monitoring expertise, can come together to improve operational efficiencies for industrial customers. Together with SKF, we are excited to deliver scalable, easy-to-use industrial solutions that will accelerate the pace of operational innovation for industrial customers of all sizes."
