The next step, according to Josh Bloom, VP of Data & Analytics at GE Digital, is to use artificial intelligence (AI) and machine learning to help automate this decision-making process. As long as the software can be taught which conditions are favorable, it can recommend certain responses or predict consequences to the shop floor before they need to be raised to senior management.
It’s this kind of data-driven performance that SIG and GE Digital will enable together—using GE Digital’s industrial applications, Predix Asset Performance Management (Predix APM) and Predix ServiceMax, to turn data into discovery. This means providing operators with the information they need to maintain industrial equipment while balancing maintenance costs, risks, asset life, and external factors. And it’s being supported by field service management, dispatching the right engineers to the right job at the right time.