See how anomaly detection catches gray failures — silent, partial outages that slip past green dashboards — in minutes, and ...

This post walks through how we approach mobile security internally. Instead of focusing on just one product, our approach consists of four layers, each serving a specific purpose: device management, ...

Because the infrastructure running your applications in 2026 looks nothing like what traditional monitoring was built for. You are managing hundreds of microservices, multi-cloud dependencies, AI ...

Omnigent is a layer that lets engineers define an agent once — model, tools, policies, limits — and run it across any harness (Claude Code, Codex, raw API), with Nimble filling the web search slot.

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Read restrictions and catalog labels are two new specs from Apache Iceberg™ that help standardize how policies are enforced across engines and catalogs. Both additions remove fragmented enforcement.

Explore five questions shaping the move from financial-services AI pilots to governed production deployments. See how Databricks brings data, AI and governance together for financial crime, finance, ...

• Drive revenue impact by translating governed data into actionable marketing insights in real-time • Improve campaign ROI by uncovering cross-channel performance trends without relying on manual ...

The Grounded Reasoning Cup challenged 11 academic teams to apply agents developed on OfficeQA Pro to OfficeQA Pro V2, a newly released benchmark built from approximately 120,000 pages of U.S. Treasury ...

AI literacy combines functional, critical, and ethical competencies, and demand for it has grown sevenfold in two years as 12% of employed adults now use AI daily on the job. A three-domain framework ...

AI applications in finance span credit scoring, fraud detection, algorithmic trading, and finance automation, with financial institutions expecting AI to save the banking industry roughly $1 trillion ...

Define trusted context for analytics and AI: Metric views create governed business definitions, while vector retrieval, geospatial types, and richer SQL primitives bring AI-native analytics into Spark ...