With customers asking increasingly complex questions of AI agents, Databricks is launching a model aimed at improving the accuracy of data retrieval systems.

IntroductionThis article is a summary of the scientific databases I have researched and reflected upon over the past several ...

New semantic generators turn definitions and relationships in enterprise data models into reusable semantic layers for ...

In the development of autonomous agents and browser automation tools, inference latency and ballooning API usage costs have become serious technical barriers hindering practical application. As a ...

Space and Time CTO Scott Dykstra discusses how Proof of SQL lets smart contracts query verified Ethereum data in under a second, where AI agents are already using onchain data to gate trades, and why ...

A practical guide to how databases work, covering schema design, SQL, indexing, transactions, concurrency, caching, pagination, and database selection.

Business Chief ranks the Top 10 Customer Experience Platforms, including Databricks, Snowflake and Cloudera According to research from Gartner, AI is set to become the biggest transformative factor ...

For the past couple years, companies have been treating the high demand and explosive growth for AI inferencing as a ...

The price tag of conversational analytics can be far higher once factors, such as data preparation, semantic modeling and ...

The potential for AI to automate scientific research and manufacturing must be balanced with new risks, Anthropic says.

For all the interest in and uptake of agentic AI systems over the past year or so, the world of automated AI has thus far been primarily limited to text, images, code, and other data and actions that ...

Ademola Ahmed Adeniji, a Nigerian technology professional, has applied principles from civil engineering to the design and delivery of complex digital systems, drawing on his transition from ...