In recent years, the expansion of low Earth orbit (LEO) satellite constellations has made satellite communications cool again ...

demonstrating its potential for applications in artificial intelligence systems and beyond. Traditional cloud computing faces various challenges when processing large amounts of data in real time.

Smart devices from Amazon and Google use artificial ... on cloud processing. Edge AI for Real-Time Processing Many real-time activities are driving the need for edge AI. Applications such as ...

DIU said it is looking for AI and machine learning tools that can speed up data processing at the Navy’s Marine Operations ...

Hazelcast and IBM LinuxONE and Linux on z to help enterprises leverage and build on their existing transaction processing investment. Hazelcast drives real-time data processing and automation on IBM's ...

A shift is evident in the healthcare and biotech industry that is steadily moving toward a digital future. A future where ...

Meanwhile, the use cases for real-time data continue to multiply, not least in artificial intelligence (AI) applications connected to cybersecurity automation, fraud detection in financial ...

Some edge data stays on-site to power applications requiring immediate processing ... Inferencing—using trained AI models to make real-time decisions—is best conducted close to the data ...

Learn More Moving data from diverse sources to the right location for AI use is a challenging ... at scheduled batch processing, but enterprises increasingly need real-time data processing ...

Monitoring and alerting enable the early identification of potential problems, allowing for proactive measures to be taken before they impact the data processing pipeline. By providing real-time ...