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 ...
Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...
Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...
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 ...
Oracle tackles database infrastructure with its Globally Distributed AI Database, aiming to ensure zero data loss for mission ...
A study on vector database and AI integration identifies unstable indexing, weak cross-modal fusion, and rigid resource ...
A new tool from Google Cloud aims to improve the accuracy of AI agents querying databases in multi-agent systems or ...
KeeperDB integrates database access into a zero-trust PAM platform, reducing credential sprawl and improving security, ...
Aerospike Inc. is introducing LangGraph integration for NoSQL Database 8, delivering persistent memory to stateless AI agentic workflows struggling to move from prototype to production scale.
The moment AI agents started booking meetings, executing code, and browsing the web on your behalf, the cybersecurity conversation shifted. Not slowly, but instead overnight.What used to be a ...
Companies and researchers can use aggregated, anonymized LinkedIn data to spot trends in the job market. This means looking ...
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