With connected devices through the Internet of Things generating unprecedented amounts of data, traditional, highly centralized compute architectures like cloud-first designs need reconsideration. To be able to process and act on data where it matters, while it matters, compute needs to be closer to data sources and much more intelligently distributed in nature.
Enter artificial intelligence — another buzz term often quoted but infrequently truly understood (especially in an Edge-core-cloud context). While Edge is a “place” (made real when used to harness value through Edge computing, and IoT is realistically a term used to describe a set of use cases, AI is another umbrella term, this time used to describe a specific set of capabilities for automated decision making.
