

Adam Cowley
Developer Advocate at Neo4j
Swindon, United Kingdom
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Adam Cowley is a Staff Developer Advocate at Neo4j with two decades of experience spanning software development, data analysis, and product ownership. At Neo4j, he leads developer educational initiatives, including GraphAcademy, Neo4j’s free, self-paced learning platform. Drawing on his analytical mindset and cross-functional background—from data analyst to product owner—he champions data-driven solutions. Currently, he is passionate about Generative AI and the potential for personalised educational experiences for developers and data scientists. Outside of work, you’ll find him exploring football analytics or wielding a cue over a baize table.
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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
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.
Redefining Developer Education at Neo4j
For a growing company like Neo4j, educating and empowering developers and data scientists is crucial.
Over the past three years, we’ve rebuilt GraphAcademy, our free training platform, using modern web technologies to create a more engaging, hands-on learning experience. In this talk, I’ll discuss why we undertook this transformation, how we approached the “build vs. buy” decision, and the data-driven methods we used to design our curriculum.
I’ll cover how we identified different learning personas, the ways developers learn, and how we tailored GraphAcademy to meet their needs. I’ll also share insights from our experiments with generative AI to improve the learning experience, including successes and lessons learned when those experiments were less than successful.
This session provides a behind-the-scenes look at the challenges and innovations of modernizing developer education, offering practical insights for anyone interested in building impactful, learner-centered platforms.

Adam Cowley
Developer Advocate at Neo4j
Swindon, United Kingdom
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