Rethinking The Impossible: How AI Makes Edge Computing Even More Powerful
NETWORKComputing, Monday, February 12th, 2024
Edge computing has evolved from its legacy foundations to its modern format where servers are closer to the end user. Now, the addition of AI allows real-time, automated analysis and insights at the edge, providing benefits for a wide variety of industries.
Edge computing captures and processes data closer to where it's being generated, which enables analysis and automated responses to happen faster, reducing the latency required to respond. The rapid insights allowed by edge computing can help businesses make better and faster decisions, something that's important in every competitive industry.
In the early 2000s, networks began to evolve toward hosting applications on servers located away from centralized data centers. This resulted in the first distributed commercial computing services, hosting applications such as video streaming, dealer locators, data aggregators, and ad insertion engines. It was during this era that the term 'edge computing' was born.