Microsoft’s new Azure database savings plans promise more flexible, cross-service cost reductions than traditional reservations, giving IT teams another lever to manage rising cloud database spend ...

Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...

Critics say the scope established in the agency’s systems of record notice “is an astonishing and dramatic departure from ...

AI is stress-testing database infrastructure. Teams using Liquibase Community face scaling challenges that only Liquibase ...

Explore the best data analytics tools for enterprises in 2026 that harness AI and advanced analytics to improve data-driven decision-making. Uncover key features, pricing, and ideal use cases to boost ...

OpenEverest is an open-source platform for automating the provisioning and management of any database on any Kubernetes ...

Oracle RAC Fast Restart Recovery: Helps reduce downtime created by node failures or planned maintenance operations. With Oracle AI Database 26ai RAC, online transaction processing (OLTP) applications ...

Materials databases lie at the heart of future data-driven discovery in energy-related fields, say researchers from Tohoku ...

Health systems using Epic are the first in the U.S. to begin sharing patient records with the Social Security Administration through a new federal interoperability framework. The connection is enabled ...

AI knows what ‘churn’ means in a dictionary, but it doesn't know how your company defines it. Analysts are the secret sauce ...

To improve data center efficiency, multiple storage devices are often pooled together over a network so many applications can share them. But even with pooling, significant device capacity remains ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...