The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, eliminating prompt tuning and external tools.

The new capability supports tables, figures, and diagrams with spatial metadata, making documents searchable and actionable ...

Zilliz, the company behind Milvus, the world's most widely adopted open-source vector database, today forecasts a major shift in enterprise data interaction: natural language interfaces powered by AI ...

Data science has become one of the most rewarding and future-driven careers in the US, offering an average annual salary ...

WisdomAI Inc., a startup using artificial intelligence to speed up analytics projects, today announced that it has closed a ...

The smart optimization feature enhances existing prompts using advanced AI techniques. For businesses that have developed ...

New tooling helps developers turn SQL and unstructured data into graphs—enabling LLMs to deliver optimal results using ...

The company this week detailed its "ai_parse_document" technology, now integrated with Databricks' Agent Bricks platform. The ...

In May this year, Mark Zuckerberg said that he wants advertisers to hand over their bank accounts and walk away. In his ...

AI evolves from chat interfaces to enterprise reasoning systems as Oracle builds high-density infrastructure, sovereign ...

PromptBuilder lets you store optimized prompts in a personal library and add tags so you can find them quickly the next time ...

Blending DDI with AI lets your network see, think and fight back faster — closing gaps before attackers even get in.