With the growing interconnectedness of manufacturing systems every year, machines, sensors, cameras, RFID readers, PLCs, MES, ERP and other IoT devices generate and send a torrent of operational data. While data acquisition has gotten simpler, the problem lies in efficiently using and analyzing it for informed decision-making quickly.
This is where Cloud AI and Edge AI come into the spotlight. Contrary to a belief that they may be opposing forces competing with each other, they can actually work in tandem in modern manufacturing environments to establish an agile and responsive architecture.
Cloud AI versus Edge AI
The distinguishing factor between cloud AI and edge AI lies in where the processing takes place.
Cloud AI involves transmitting data to centralized cloud infrastructure where its advanced computing power can analyze and process it.
