DataHub is introducing a new context intelligence layer that mines years of SQL query logs to help AI agents stop ...

As workflows evolve into collaborations between humans and AI agents, traditional user experiences based on forms, dashboards ...

Researchers have developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. Their method combines probabilistic AI ...

Databases are used in many different settings, for different purposes. For example, libraries use databases to keep track of which books are available and which are out on loan. Schools may use ...

Writing code that interacts with LLM services requires bridging two different worlds. Use these tips and techniques to bind ...

Compare top AI app builders for prototyping, mobile apps, internal tools, backend depth, security, pricing, and code ...

The report also highlights the rise of ‘Agents for Every Workflow’, where multiple agents collaborate to run end-to-end processes – from onboarding to procurement to financial reconciliation. These ...

We explore how artificial intelligence is being integrated into network management tools, and the challenges it presents.

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...

AI agents can’t just guess what your data means; they need an "ontology" to act as a shared rulebook so they don't make confident, expensive mistakes.

Increased to $5.84 billion, reflecting 31% year-over-year growth. Snowflake Intelligence adoption -- Accounts using Snowflake ...