To make AI possible, you need to create connections between vast quantities of data. That’s where tech like graph databases come into play. Graph databases handle fast-changing, interconnected data ...

Oracle Database 26ai embeds AI capabilities directly into production databases, enabling enterprises to deploy AI securely ...

Central to Collate's new capabilities is the launch of AI Studio, which enables enterprises to build, deploy, customize, and tune AI agents to their unique data environments. AI Studio provides a ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1 Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including ...

Beyond dashboards building data enables Stanford Health Care to deliver actionable, explainable insights for precision medicine workflows.

Google is hosting a version of its Cloud Next conference in Tokyo this week, and it’s putting the focus squarely on tweaking its databases for AI workloads (because at this point in 2024, AI is the ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

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SurrealDB Inc. today revealed that it has raised an additional $23 million in funding for its multimodel artificial ...

Wikidata has built the semantic web backbone supporting knowledge cards in popular engines. Now, it's extending this foundation using a vector database to enhance its existing knowledge graph and ...

As enterprises continue to navigate the complexities of digital transformation, connected data is becoming an increasingly common necessity. Connected data is when data assets are linked together to ...

The rise of generative AI has transformed the landscape of data storage and analysis, but it’s also showcasing the importance of key data management approaches, especially between graph and vector ...