As AI’s role in business and society continues to grow, the infrastructure that supports these workloads must adapt.

Algorithms aim to make real-time data processing possible anywhere on Earth. Story by Science X staff • 16m. I n recent years, the expansion of low Earth orbit (LEO) ...

Edge AI for Real-Time Processing Many real-time activities are driving the need for edge AI. Applications such as smart-home assistants, patient monitoring, and predictive maintenance are notable ...

Join us for a live panel discussion on how top brands are using Customer Data Platforms (CDPs) to unify customer data, ...

In today’s fast-moving digital world, data alone isn’t enough, and speed matters more than ever. Businesses must not only gather information but also act on it ...

Airflow has traditionally excelled at scheduled batch processing, but enterprises increasingly need real-time data processing capabilities. Airflow 3.0 now supports that need.

“Real-time data processing lets enterprises operate at the speed of business, acting on events as they happen,” said Matt Aslett, director of research, ISG Software Research, ...

Claude’s new AI data analysis tool, powered by the Claude 3.5 Sonnet model, offers a robust solution for real-time data processing and visualization.

Tamr Inc. ("Tamr"), the leader in AI-native software for delivering trustworthy golden records, today announced the launch of Tamr RealTime, a set of new features for its AI-native master data ...

Integrating real-time data processing with existing systems and legacy systems can be a difficult task as data inaccuracies can lead to significant business impact.