Responding quickly is a critical business driver. This requires data centers live on the edge to deliver real-time data for an enhanced customer experience.
Topic: Edge Computing
How edge computing and edge analytics use real-time data for a variety of applications, including IoT.
Data is rapidly migrating to the edge due to demand for real-time insights, and advanced, often AI-powered technology that makes these insights
As massive amounts of data are created, the cloud will extend to the edge. It won’t be cloud versus edge; it will be cloud with
The role artificial intelligence will play in robotics will largely be determined by use cases and the resolution of privacy and computational
As IoT data becomes a more important part of enterprise business operations, the ability to reduce latency in data analytics and processing can make a …
Innovative method combines video analytics with edge computing to accelerate onboard
Moving toward next chapter: Training AI models closer to where data is collected at the network edge.
Clear business goals and scalable platforms are key for communications service providers – and other leading-edge enterprises.
The edge is where data gets generated, events occur, things and people interact. The key is putting intelligence there.
Consolidated network monitoring is key to remote visibility in massive