Adam Hill
Adam is the Interim Director of Data Science at ComplyAdvantage, where he leads a brilliant team tackling financial crime with advanced analytics, large-scale systems, and the latest in generative and agentic AI.
Before that, he spent eight years in the smart cities space at HAL24K, helping governments and infrastructure providers make better decisions with their data. Along the way, he built and led a team of ten data scientists, and helped launch four spin-out ventures—proving that good data science can move the dial in the real world.
A recovering astrophysicist, Adam spent a decade analysing data from space telescopes in search of new cosmic phenomena. He’s since redirected that curiosity toward Earth-based problems.
Adam is an active member of the PyData community, the founder of PyData Southampton, and a long-time volunteer with DataKind UK, supporting charities and NGOs with pro-bono data science.
Session
Large Language Models (LLMs) are unlocking transformative capabilities — but integrating them into complex, real-world applications remains a major challenge. Simple prompting isn’t enough when dynamic interaction with tools, structured data, and live context is required. This workshop introduces the Model Context Protocol (MCP), an emerging open standard designed to simplify and standardise this integration. Aimed at forward-thinking developers and technologists, this hands-on session will equip participants with practical skills to build intelligent, modular, and extensible LLM-native applications using MCP.