Real-time data processing is the handling of data as it arrives, so it is available for use almost as immediately as it is created and collected. This term is most often used in the context of a ...

Traditional cloud computing faces various challenges when processing large amounts of data in real time. 'Edge' computing is a promising alternative and can benefit from devices known as physical ...

The scenario of real-time edge computing and transmission application in satellite networks (SNs). The blue satellites serve as communication satellite for data relay, while the yellow ones are ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Hazelcast is updating its namesake real-time data processing platform to ...

The ability to index, query, and analyze large amounts of data from real-time sources remains a major headache for anyone involved in building database systems. Data retrieval takes time and even that ...

Streaming data observability startup Datorios Ltd. today announced the immediate availability of a new real-time observability platform for the big-data processing framework Apache Flink. With the new ...

The value of edge AI within various industries. How edge AI utilizes machine learning. Which hardware works best with edge AI workloads. From smart-home assistants (think Alexa, Google and Siri) to ...

IBM's $11B Confluent acquisition completes its hybrid cloud stack, with Kafka streaming joining Red Hat and HashiCorp for ...

Anthropic’s Claude AI has introduced a new data analysis tool that enhances its ability to process data, conduct analysis, and produce real-time visualizations using JavaScript code. This tool is ...

If you listen to enough conference talks, vendor pitches, and analyst pronouncements, you can be forgiven for assuming every organization on the planet now can sense and respond, in real time, to ...