Scaling AI Impact with Connected Location Data

AI is only as good as the data behind it — and for most of the questions businesses actually need answered (Where should we expand? Where’s the risk? Where are our customers?), location plays a key role. Without complete location data, AI in the best case gives you no answer when asked to support critical operations, and in the worst case confidently makes one up.

In this session, Ben Tuck, Product Marketing Manager, will walk through how Precisely’s connected data ecosystem and MCP Server close that data completeness gap — giving AI systems trusted, pre-linked location and business context without requiring teams to understand complex APIs or spatial data structures.

In this session, you’ll see a demo that showcases how Precisely’s data and MCP server make it easy to answer real-world questions and power AI-driven workflows with the location-specific context you need. The demo walks through a real-world network planning use case for Telco organizations, outlines what connected location data makes possible, and highlights the importance of data completeness for AI tools across industries.

Watch the demo to:

• Gain a clear picture of how to give AI the connected location data it needs to move from hallucination-prone to genuinely decision-ready
• Learn how to scale AI impact by providing less technical users with seamless access to the right data that works in common AI tools and systems
• Understand how you can accelerate time-to-value and enhance trust in AI tools across your organization