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Announcing Embedded Agentic Analytics

Blog post from Cube

Post Details
Company
Date Published
Author
Artyom Keydunov
Word Count
1,546
Language
English
Hacker News Points
-
Summary

Embedded Agentic Analytics is a new offering from Cube, designed to integrate AI-driven analytics seamlessly into products using the Cube semantic layer. Unlike traditional embedded analytics, which primarily involve dashboards and chart components, this new solution caters to modern customer expectations of interacting with data through natural language queries and obtaining precise answers without leaving the product. It addresses the limitations of past analytics stacks by ensuring AI agents have the requisite context to produce accurate results, thanks to the underlying semantic layer that contains definitions, measures, and policies. Cube's approach maintains a balance between governance and flexibility, allowing for ad-hoc calculations within a governed model. The offering includes four embedding options—Analytics Chat API, Chat and Dashboard iframes, Creator Mode, and Core Data APIs—all running on the same semantic layer, enabling easy transitions between options without rebuilding the data model. A notable example is Brex, which successfully implemented an AI-powered financial reporting workspace using Cube, demonstrating the practical application and benefits of this approach in handling multi-tenant architectures and scale. Cube invites existing and new customers to explore these embedding options, promising further enhancements and integrations in the future.