This piece was originally published in the June 2018 issue of electroindustry.
Like any machine system, connected products need constant tweaking and incremental improvements to maintain efficient operation. Today, this is typically solved using data analytics and diagnostic feedback loops to inform on necessary optimizations after they occur. But when product companies want to move beyond reactive support toward the ability to predict product issues, they adopt machine learning (ML).
Join Josh Pederson, director of product marketing at Ayla Networks, June 18, 1–2 pm EST, as he discusses ML technology and the concept of device profiling to best predictively support IoT device fleets across a host of industries and applications.
Register now at www.IoTNOWwebinars.org.