For decades, the data center was a centralized place. As AI shifts to an everyday tool, that model is changing. We are moving ...

SimActive introduces distributed processing in Correlator3D, enabling faster photogrammetry workflows and scalable mapping.

Vipul Kumar Bondugula's research enhances distributed databases by optimizing concurrency control and fault tolerance, ensuring high-performance, consistent, and resilient data processing for critical ...

EPRI today announced a collaboration with Prologis, NVIDIA, and InfraPartners to study smaller-scale data centers designed for distributed inference, a form of real-time data processing used across ...

Real-time data platform recognized for powering observability at world's largest streaming events including Super Bowl, ...

As the government shutdown enters its third day, Social Security checks continue. But a recent data breach and major workflow ...

In an era where data is the backbone of every business decision, Gopala Krishna Subraya Pai has emerged as a transformative figure in the field of cloud-based data engineering and analytics.

Oracle Database 26ai embeds AI capabilities directly into production databases, enabling enterprises to deploy AI securely ...

Main opportunities in the edge print servers market include growing demand for distributed printing, rising investments in ...

Enterprise leaders seeking reduced overheads are turning to autonomous operations to drive efficiency across distributed ...

Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...