Chicago-based startup removes barrier between raw, unstructured data and the tools analysts already use, making every ...

Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the ...

There is a widening gap between the sophistication of manufacturing data models and the reality of the production line.

Interactive product demos have shifted from nice-to-have to non-negotiable. Whether you run a product-led motion or a classic sales-led funnel, prospects now expect to explore software on their own ...

Inside OpenAI’s ‘self-operating’ infrastructure, where Codex-powered AI agents debug failures, manage releases, and compress ...

A production-grade data engineering pipeline that ingests real-time and batch financial transaction data from multiple sources, transforms and enriches it with dbt, runs automated data quality checks, ...

Oracle announced a suite of agentic AI capabilities integrated directly into Oracle AI Database, enabling AI agents to securely access enterprise data where it already exists, rather than requiring ...

Abstract: The increasing volume of traffic video data demands efficient methods for extracting actionable insights to improve road safety and traffic management. This research presents an automated ...

Methods: To align LLM revisions with research evidence and enable comparison with manual editing, the National Health Service Injectable Medicines Guide (IMG) was used as a case study, to which a ...

Snowflake's CEO warned that software companies may become mere data sources to AI labs. AI firms like OpenAI are aiming to consolidate enterprise data in one place, he said. He said that the solution ...