In this talk, we'll explore how to create a powerful natural language interface that sits atop APIs, enabling real-time, conversational access to data. Using a live demo, we'll showcase a chatbot built with open-source data on bus disruptions, allowing it to fetch, interpret, and share transport updates using natural language queries.

Aimed at companies eager to tap into AI's potential and unlock latent potential in their services, this session will highlight how connecting an AI model to a data-rich API opens up a wealth of dynamic information for end-users. We'll break down the process of designing and building this proof of concept, covering essential steps, architectural choices, and pitfalls to avoid.

You'll also learn about diverse use cases where chatbots with API access could enhance customer engagement, streamline operations, and unlock new possibilities for data interaction across industries. This talk is ideal for businesses interested in exploring AI-driven interfaces, providing a roadmap to create intelligent, responsive bots that bring data to life.