Microsoft – At the recent Microsoft Ignite 2019 conference, we introduced two new and related perspectives on the future and roadmap of edge computing.
or most workloads, running in the cloud is the best choice. Our ability to innovate and run Azure as efficiently as possible allows customers to focus on their business instead of managing physical hardware and associated space, power, cooling, and physical security. Now, with the advent of 5G mobile technology promising larger bandwidth and better reliability, we see significant requirements for low latency offerings to enable scenarios such as smart-buildings, factories, and agriculture. The “smart” prefix highlights that there is a compute-intensive workload, typically running machine learning or artificial intelligence-type logic, requiring compute resources to execute in near real-time. Ultimately the latency, or the time from when data is generated to the time it is analyzed, and a meaningful result is available, becomes critical for these smart-scenarios. Latency has become the new currency, and to reduce latency we need to move the required computing resources closer to the sensors, data origin or users.
At AT&T’s Business Summit we gave an augmented reality demonstration, working with Taqtile, and showed how to perform maintenance on an aircraft landing gear.
