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…
A developer outlines a lightweight approach to embedding live SQL-backed charts in applications without relying on full BI platforms. The method involves running SQL queries against the app's database…
Google announced new AI-powered features for Looker Explore, including natural language querying and automated query generation using Gemini models, alongside a redesigned Merge Query workflow. The up…
Google Cloud has introduced Looker dashboard agents in preview, embedding conversational AI directly into dashboards to allow users to explore business intelligence data using natural language. The ag…
Since August 2025, more than half of all new code deployed to Ashby's production systems has been AI-generated, yet customer issue rates have remained stable with no regressions in code quality or eng…
As of May 2026, four major business intelligence tools—Looker, Tableau, Power BI, and Mode—have varying levels of Model Context Protocol (MCP) coverage, enabling AI agents to access dashboards, datase…
Headless BI is an architecture pattern that decouples metric definitions and business logic from visualization tools, addressing problems like definition duplication, tool lock-in, and AI agent exclus…
Railway, a cloud platform receiving over 10,000 daily signups, replaced its generic, low-engagement onboarding emails with a targeted system to identify high-value business users. By analyzing product…