Enterprise software lacks a field to record both who acted and under whose authority when an AI agent performs an operation, conflating the agent's identity with the human's or service account's. Okta…
According to Google Cloud's ROI of AI Report, 52% of executives report deploying AI agents in production, and 88% of agentic AI early adopters see positive ROI, as self-service business intelligence s…
Anthropic has shipped four distinct Claude products—Claude Code, Claude Cowork, Claude Tag, and Routines—each wrapping the same underlying agent in a different envelope for a different job, according …
There is no single best way to structure data for AI agents, according to a new analysis that identifies five production-ready approaches: semantic models, knowledge graphs, RAG, plain markdown files,…
Gartner predicts 40% of enterprise applications will feature task-specific AI agents by 2026, up from under 5% in 2025, while over 40% of agentic AI projects are expected to be canceled by end of 2027…
A developer introduces agentic data engineering, a practice where autonomous AI agents design, build, and maintain data pipelines from natural-language intent, shifting from manual coding to specifyin…
A semantic layer is a shared definition of business metrics that sits between raw data and consuming tools, ensuring consistent computation of terms like 'revenue' across dashboards, reports, and AI a…
An MCP server is a program that exposes data, tools, and actions to AI agents through the Model Context Protocol, an open specification developed by Anthropic and released in late 2024. It allows AI a…