One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...
OceanBase today announced the release of OceanBase AI Database, a comprehensive portfolio designed to enable enterprises to ...
Tech leaders are under pressure to satisfy growing demand for AI while keeping a lid on costs. That is becoming harder as ...
Oracle expands its AI database security strategy with new data protection, patching, and cyber resilience tools to help ...
Today EnterpriseDB (EDB), the leading sovereign data and AI company, announced new agentic database and converged analytics capabilities for EDB Postgres® AI (EDB PG AI). The offerings bring ...
As Couchbase launches its AI Data Plane, the more interesting question is whether the NoSQL-era strengths it built for ...
IBM is introducing a variety of AI tools to IBM SQL Data Insights Pro (SQL DI Pro), generally available as of March 2026, offering semantic search, similarity discovery, anomaly detection, and unified ...
The 10 coolest big data tools of 2026 so far include products from Databricks, Google Cloud, Starburst, Teradata and ...
Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...
The industry’s next phase may depend on the companies building its infrastructure, governance, security, and real-world ...
Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...
NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...
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