What if you could ask an AI for real business advice — not just opinions, but decisions grounded in data and real-world context?

In this session, we’ll explore how an AI agent can help answer a practical question many entrepreneurs face: Where should I open my business, and will it actually work?

We will see how AI can analyze market trends, customer demographics, pricing strategies, and even neighborhood-level location details to make informed recommendations.

Behind the scenes, the solution is built using the Agent Development Kit (ADK) with remote MCP servers that connect the agent to enterprise data in BigQuery and real-world geospatial context via Google Maps APIs, all orchestrated by Gemini on Vertex AI.

The agent autonomously:

Queries BigQuery datasets to discover macro trends like demographics, competitor pricing, and historical sales patterns
Uses Google Maps to validate micro-level location details such as nearby competitors and neighborhood activity
Synthesizes insights into a single, grounded business recommendation
We’ll walk through the architecture, orchestration flow, and deployment model, showing how this approach enables trustworthy, explainable AI decisions that go far beyond traditional RAG or single-model chat applications.

This session is intended for developers, data engineers, architects, and technical decision-makers interested in agentic AI and data-driven systems. Basic understanding of cloud analytics and APIs is helpful but not mandatory. The session works best as a 30–45 minute talk with a live demo. The business scenario and datasets are illustrative and used for demonstration purposes. This session may be delivered as a live or recorded demo depending on event setup.