New Predix Offering from GE Digital Brings Manufacturing Data to the Cloud

GE Digital recently announced the launch of Predix Manufacturing Data Cloud (MDC), a cloud solution that is reportedly designed for consolidating and transforming manufacturing data for enterprise cloud storage and analysis. The stated goal of the product is to give manufacturers operational analysis in the cloud and greater flexibility of deployment, helping reduce the size of on-premises systems and make them run more efficiently.

“Most companies are only just scratching the surface of realizing their data’s potential. In fact, today manufacturers are losing the value of 70 percent of collected manufacturing data,” said Matt Wells, VP, Product Management, GE Digital. “Predix MDC delivers the power of cloud computing to manufacturers, taking the burden of heavy compute loads out of the plant, enabling users to aggregate data from across the business and run analytics that can uncover new insights and unlock even greater efficiencies.”

Predix MDC will add cloud functionality to GE Digital’s manufacturing execution system offering, Plant Applications, the company said in the release. Further, it reportedly can speed process implementation by up to 50 percent, give users points of view into information captured at individual sites, and the ability to run analytics and comparisons across various locations and data types.

“There is a bigger benefit here around innovation through digitization of operations, and how IT supports that innovation,” said Kevin Prouty, Group VP, Energy and Manufacturing Insights, IDC. “IT is being told they have to be able to support, and not inhibit, innovation. An industry cloud platform like Predix MDC can become the foundation for that support. The end result is IT and operations supporting innovation through a platform that secures data and provides rational access to operational data."

Predix MDC reportedly is compatible with any third-party application that supports REST APIs for data sourcing, user interface, visualization, analytics and reporting. General availability is expected in Q2 2019.