Did you know that only five percent of the data being collected in key industrial applications is actually being used today? This isn’t because the data isn’t needed – quite the contrary. In fact, industrial productivity growth has slowed in part because of data that’s collected but remains isolated across individual silos. Many companies lack the talent and technology to gather and consolidate this data into a basis for rapid decision making. In a recent webinar for IndustryWeek, Rich Carpenter, general manager of product management for Emerson’s machine automation solutions business, and Vibhoosh Gupta, senior product manager for machine automation solutions, discussed the challenge of big data for industrial automation – and its solution.
Carpenter and Gupta explain that solving the data crisis, and the productivity crisis that accompanies it, is a function of getting data from industrial sensors, devices and applications, all collected and analyzed, as close to the operator as possible. The technology that makes this possible is edge control. My colleagues do a great job of describing different edge devices, including Emerson’s edge controllers that offer deterministic control and non-deterministic software applications, with local collection, analysis and visualization of data in one device.
Check out this essential webinar for yourself. Carpenter and Gupta explain why industries are growing exponentially while industrial productivity has slowed, and offer insights and tools that can enable a shift in direction through practical digital transformation.
How are you implementing edge control in your applications?