Abhinav Bhatnagar

Discover how Databricks transformed a basic Gradio app into GTM Hub 2.0, an enterprise-grade platform serving 10,000+ global users (Sales, Marketing, XDR) with personalized insights. Core Architecture & Achievements: - Databricks Apps (Enterprise Scale): Built a React/FastAPI application serving 10k+ concurrent users with <3s load times. Features include RBAC, multi-persona views, and seamless cross-origin embedding. - AI/BI Dashboards: Embedded dynamic dashboards with global filters, bookmarkable states, and usage tracking for optimized analytics. - Genie (Conversational AI): Integrated multi-agent support. A supervisor agent (via MLFlow) routes natural language queries across specialized spaces, eliminating the need for SQL. - Lakebase (State Management): Leveraged PostgreSQL on Databricks to handle user preferences, session history, and caching for real-time personalization. The Result: A unified, modular analytics experience with robust telemetry and a future-proof architecture.

The GTM team at Databricks recently launched the GTM Analytics Hub—a native AI/BI platform designed to centralize reporting, streamline insights, and deliver personalized dashboards based on user roles and business needs. Databricks Apps also played a crucial role in this integration by embedding AI/BI Dashboards directly into internal tools and applications, streamlining access to insights without disrupting workflows. This seamless embedding capability allows users to interact with dashboards within their existing platforms, enhancing productivity and collaboration. Furthermore, AI/BI Dashboards leverage Databricks' unified data and governance framework. Join us to learn how we’re using Databricks to build for Databricks—transforming GTM analytics with AI/BI Dashboards, and what it takes to drive scalable, user-centric analytics adoption across the business.