Given the many ways CI applications work with data, organizations need flexible, high-performance, highly scalable data ingestion and analysis
Topic: Edge Computing
How edge computing and edge analytics use real-time data for a variety of applications, including IoT.
In the news this week: new edge servers and an ingestion and analysis platform for streaming edge data, an updated platform for automating the deployment and …
The combination of HCI and edge computing will give AI the tools to evolve to the next level, enabling smarter and faster decision making for
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.
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.