Looker has introduced a native MCP server for its instances, allowing developers to connect Claude Code directly via an HTTP endpoint instead of running a local binary. The server, hosted by Google, r…
Google Cloud announced that BigQuery Graph now supports measures in preview, enabling AI agents to reason across interconnected business data with accurate, governed metrics. The feature lets data mod…
Google Cloud has published a guide for configuring OpenAI's Codex CLI to work with Looker over the Model Context Protocol (MCP), marking the third iteration of the same integration approach previously…
Google Cloud's Gemini Enterprise now integrates Looker's governed semantic layer to provide trusted, deterministic answers to natural-language queries over structured enterprise data, reducing AI hall…
Google Cloud announced the preview of Looker Agentic Workflows, a new capability in Looker that automates metric monitoring and root-cause analysis using intelligent background agents. The feature all…
Google Cloud announced the general availability of BigQuery Conversational Analytics and the Conversational Analytics API, adding to the existing GA of Conversational Analytics in Looker, with Convers…
A review of Cube.dev by Strata, a competing semantic layer builder, finds that Cube has evolved into a full BI solution with workbooks, dashboards, and AI chat interfaces. The open-source version was …
A developer argues that B2B SaaS teams should avoid embedding BI tools or building custom charts from scratch for customer-facing analytics, citing multi-tenancy, branding, and maintenance costs. Inst…
An agentic semantic layer is a metadata layer between AI agents and data warehouses that defines business metrics, enforces access control, and exposes governed query interfaces. Unlike traditional se…
Google Cloud enables administrators to analyze and govern Gemini Enterprise app usage at scale by routing telemetry to BigQuery via log sinks, providing five distinct log tables for deep-dive forensic…
Contextual intelligence — not larger models — is the missing layer that makes AI useful in enterprise settings, according to a CTO who used Anthropic's Claude and an MCP connector to analyze Jira data…
A developer argues that semantic layers have become critical for data trustworthiness, especially with the rise of AI agents querying data. The layer translates physical data tables into governed, exe…
Google has been named a Leader in the 2026 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms for the third consecutive year, following its Google Cloud Next 2026 event. The reco…
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…