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 ...

Enterprises face challenges scaling AI beyond pilots as legacy systems, governance gaps, and infrastructure constraints hold them back. The post Overcoming barriers to database modernisation in the AI ...

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 ...

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 ...

SAVE is an incomplete and flawed database that has been shown to produce a massive number of false positives, incorrectly ...

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

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

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 ...

AI risk lives at the schema layer, not the model. Learn why database governance matters more than model governance for ...