In 2026’s competitive hiring climate, passing AI-powered Applicant Tracking Systems is essential for securing interviews—especially in technical fields like data engineering. With recruiters facing ...

Mastering data engineering with Databricks tools Databricks delivers a comprehensive ecosystem for building, managing, and scaling modern data workflows. Its Lakeflow framework unifies ingestion, ...

A newly discovered threat actor is using Microsoft Teams, AWS S3 buckets, and custom "Snow" malware in a multipronged ...

A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

During Google Cloud Next, Rubrik rolled out one announcement aimed at AI agent governance and another focused on cyber resilience for Google Cloud SQL.

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

Google Cloud is turning the traditional enterprise data platform on its head, unveiling the Agentic Data Cloud infrastructure ...

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

On the silicon side, Nvidia's tech let Humanoid slash hardware development from the usual 18–24 months to just seven months. Executives pitched the deployment as proof that factory-grade humanoids can ...

Tiger Data today announced TimescaleDB Enterprise, a commercially licensed, self-managed time-series database built on PostgreSQL for on-premises, edge and customer-managed cloud environments. The ...

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

VMware Tanzu Platform new innovations include AI agent foundations on VCF, a revamped Tanzu Data Intelligence, new AI ...