Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s ...

Asynchronous I/O, OAuth authentication, expanded SQL standards support, and new extension capabilities give developers faster ...

Zapier reports on Agentic AI, a system of interconnected AI agents collaborating to autonomously achieve complex goals with ...

AI's shift to inference at scale from model development is tilting data-center demand toward databases, especially those used ...

Microsoft Fabric expands as industry analysts reveal critical criteria enterprises need for evaluating AI-ready data ...

Tools such as ChatGPT can be used to generate almost-identical research papers that pass standard plagiarism checks. Hundreds ...

Donald Trump is ramping up his war on vaccines, as health officials plan to blame the Covid shot for children’s deaths.

JUST what audit officials can do in the face of suspected frauds can be a problem, as often they have few ways of demonstrate ...

Facial recognition searches took up to a day before the public security agency switched to the vector database, according to ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration with graph databases is now required. This process ...

Understanding your customer base and planning early are essential steps when designing a scalable, multi-tenant database ...