Adam Cowley
Developer Advocate at Neo4j
Swindon, United Kingdom
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Adam is a multi-disciplinary developer with over 20 years of experience building products that help people learn and grow. Currently Manager of Developer Education at Neo4j, he leads the team behind GraphAcademy - Neo4j's free learning platform.
Throughout his career, Adam has worked across software development, data analysis and product development, building everything from websites to mixed reality experiences. He regularly speaks at conferences and runs workshops on graph technology, and has a particular interest in practical applications of Generative AI.
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Generative AI for Front-end Developers
A gentle introduction to Generative AI and Large Language Models for front-end developers looking to build intelligent chatbots and applications. The workshop introduces you to LangChain, an open-source orchestration framework for building AI Applications. You will also be introduced to some common pitfalls you will face when interacting with LLMs and how they can be overcome.
UI in the age of AI
When the backend can reason, what does that mean for the frontend?
The way we interact with software is changing. LLM-powered applications, with human-in-the-loop, are handling repetitive tasks that used to require forms and workflows. But bolting a chatbot onto your existing UI isn't enough - extracting structured data from natural language is fragile, adding frustration and friction for users.
In this talk, we'll explore how tool-calling and protocols like MCP provide deterministic contracts with non-deterministic systems, what human-in-the-loop looks like when the UI adapts to the task at hand.
Turning Claude into a Football Opposition Analyst
Analysis in sports is changing. Advanced statistics like Wins Above Replacement (WAR) or Expected Goals (xG) are making their way into TV punditry and conversations in bars. But the people who need the information the most, ex-professionals and coaches without a background in statistics, often shun it.
Not because they don't see the value but because the language is impenetrable, the underlying data is overwhelming, and the insights are difficult to translate.
Generative AI provides an opportunity to bridge the gap.
In this talk, I'll share how I used Model Context Protocol (MCP) to turn Anthropic's Claude Desktop into a football opposition analyst by providing access to team and player performance event data and in turn lower the barriers so anyone can turn a sea of numbers into actions.
This talk will cover:
- How MCP enables AI to access and interpret domain-specific knowledge
- Real examples of AI-generated football insights in action
Adam Cowley
Developer Advocate at Neo4j
Swindon, United Kingdom
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