All news with #looker tag

Looker Conversational Analytics Reaches General Availability

💬 Google Cloud has made Looker Conversational Analytics generally available, bringing natural-language data queries to all Looker users. Built on the Looker semantic layer and powered by Gemini and Google’s agentic frameworks, the feature provides instant, explainable answers and supports multi-turn exploration across up to five connected Explores. Analysts can build and share agents, use LookML for fine tuning, and rely on a governed foundation that surfaces “How was this calculated?” explanations. Admins can enable the capability now to accelerate data discovery and improve self-service across teams.

Oklahoma Transforms Data Access, Strengthens Employer Trust

🔍 The Oklahoma Employment Security Commission modernized its 40‑year mainframe data architecture with a cloud-first data platform built on BigQuery and analytics delivered via Looker. Partnering with Google Public Sector and Phase2, OESC reorganized opaque, mainframe-mimicking schemas into a performant, intuitive model and enabled point-in-time snapshots previously impossible. Critical reporting moved from months to hours, stakeholders gained self-service access, and the agency unlocked employer insights that supported tax analysis, improved auditability, and accelerated fraud detection.

Oklahoma DOT Modernizes Bridge Management with Google Cloud

🔍 ODOT teamed with Google Cloud and North Highland to centralize decades of bridge inspection, location, and maintenance data into BigQuery and govern it with Dataplex, creating a single trusted source for analysis. Non-technical and technical staff can query complex datasets conversationally through Gemini in Looker, while BigQuery ML powers predictive models to flag at-risk bridges ahead of failures. Secure sharing via Analytics Hub and unified governance enables better resource allocation, improved safety, and faster, data-driven decisions across the agency.

Google Conversational Analytics API Brings Chat to Your Data

💬 The Conversational Analytics API lets developers embed natural‑language data queries and chat‑driven analysis directly into custom applications, internal tools, and workflows. It combines Google's AI, Looker’s semantic layer, and BigQuery context engineering to deliver data, chart, and text answers with trusted access controls. Features include agentic orchestration, a Python Code Interpreter, RAG‑assisted context engineering, and both stateful and stateless conversation modes. Enterprise controls such as RBAC, row‑ and column‑level access, and query limits are built in.