Google is recasting its data and analytics portfolio as the Agentic Data Cloud, an architecture it says is aimed at moving enterprise AI from pilot to production by turning fragmented data into a ...
Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...
The team behind in-process OLAP database DuckDB has put forward a solution to the "small changes" problem that they say ...
Another challenge arises from the pace of modern data environments. Cloud platforms, streaming pipelines and self-service ...
New integration extends enterprise-grade data masking and manipulation to modern lakehouse environments FieldShield can ...
Inside OpenAI’s ‘self-operating’ infrastructure, where Codex-powered AI agents debug failures, manage releases, and compress ...
StreamNative, founded by the creators of Apache Pulsar, today introduced Lakestream, a new architectural paradigm for ...
To use artificial intelligence effectively, healthcare organizations need to foster a culture focused on data governance and quality.
AI is stress-testing database infrastructure. Teams using Liquibase Community face scaling challenges that only Liquibase Secure can solve.
Google Cloud Next 2026 unveiled a new $750 million partner fund, Gemini Enterprise Agent Platform, next-gen Tensor Processing ...
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