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

Organizations often force the DBA to take on the job of data modeling. That does not mean that DBAs are well-trained in data modeling, nor does it mean that DBAs are best suited to take on this task.

While the front-end user experience will remain the same — no, Wikipedia is not becoming a chatbot, the project leaders say — ...

Called the Wikidata Embedding Project, the system applies a vector-based semantic search to the existing data on Wikipedia ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Picture this: The year is 2030, and you’re living in a world where retailers can predict ...

RAG’s promise is straightforward: retrieve relevant information from knowledge sources and generate responses using an LLM.

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now One decision many enterprises have to make ...

With the growing interest in adopting best practices across IT departments, particularly according to standards such as the Information Technology Infrastructure Library (ITIL), many organizations are ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More San Francisco-based Monte Carlo Data, a company providing enterprises ...

Graph database provider Neo4j Inc. today announced that it will invest $100 million to accelerate its role as what it calls ...

Last fall, after playing around with OpenAI’s GPT-3 text-generating AI model — the predecessor to GPT-4 — former Uber research scientist Jerry Liu discovered what he describes as “limitations” around ...