Search results for vector search
AI & Enterprise
Removing data complexity key to making enterprise AI work properly
As enterprise computing vendors move faster to pair AI agents with both hardware and software, Oracle is stepping up efforts to optimise its core database technology for AI. Its strategy focuses on bringing AI to where data resides so it can be used securely, easily and without lock-in. Oracle has unveiled Oracle AI Database 26ai, which it says places AI at the heart of data management and integrates vector search and an agentic AI framework.
AI & Enterprise
Tech Insight: Why Google\'s TurboQuant is drawing attention for a new search experience
Since Google unveiled TurboQuant, an algorithm aimed at boosting AI processing speed and memory efficiency, views have diverged on its potential impact on the memory chip market. Attention is also shifting to search. Google says TurboQuant cuts vector-search indexing time to near zero while avoiding accuracy loss from earlier compression methods. SEO and AI consultant Marie Haynes says it could lift result quality, improve AI Overviews, enhance personalisation and influence content strategies.
Industry
Dinotesia, SBS build AI search for 100,000 hours of broadcast video
Dinotesia is working with SBS to advance a large-scale AI search system for a broadcast archive, based on about 100,000 hours of video data. The upgrade aims to enable semantic, multimodal searches that go beyond keyword matching to find scenes using combined conditions such as people, actions, backgrounds and situations. Dinotesia is also reviewing the use of its VDPU acceleration chip for faster processing and scalability.
