SKF and Amazon join forces
08/07/2022
SKF and Amazon Web Services (AWS) have announced a collaboration to ‘reinvent’ the field of industrial machine reliability and predictive maintenance. Together, they plan to deliver an easy-to-use and easy-to-scale condition monitoring and analysis package that will make the ability to collect and analyse data using machine learning (ML) technologies available to more applications and users. 
As a first step, SKF is combining its knowledge of rotating machinery and predictive maintenance with AWS’s industrial artificial intelligence (AI) services that bring industrial expertise, AI and ML technologies together. They will offer sensors, gateways and an ML service that is easy to install, commission and scale. The companies will also collaborate on the next generation of SKF’s data analysis platform.
SKF says the partnership will add several thousand large manufacturing sites where rotating assets are monitored by its predictive maintenance programmes. It will equip these sites with machine alerts and alarms, enabling smarter, better decision-making and more efficient maintenance planning and scheduling. The same approach can also be used by entry-level users and small-to-mid-sized manufacturers, making the ability to use AI-driven analysis available to more of the industrial market.
“The key to maximising the business value of machine data lies in scale,” said John Schmidt, President of the Industrial Region (Americas), 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.”
“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,” added Vasi Philomin, Vice President of AI Services at AWS. “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.”
