Name: Agents, Tools, and MCP, oh my! Next-level AI concepts for developers
Start: 2026-01-14T18:30:00+00:00
End: 2026-01-14T20:30:00+00:00
Location: BJSS

AI is evolving fast, and so are the ways developers can integrate it into tech systems.
About this Event

1st Talk - Agents, Tools, and MCP, oh my! Next-level AI concepts for developers
Jennifer Reif - Developer Advocate at Neo4j
AI is evolving fast, and so are the ways developers can integrate it into tech systems. A flurry of new approaches and tools surfaces every week, and it’s hard to know where to focus. In this session, we’ll pull back the curtain on the next wave of AI development with agents, tool integrations, and Model Context Protocol (MCP). We’ll break down what AI agents are, how they interact with tools and APIs, and why context is critical for building smarter, more reliable applications. Next, we’ll look at MCP and how it standardizes communication between AI models and external systems. Along the way, we’ll touch on related concepts and step through code and demos, giving you a complete roadmap to level up your AI skills. You won’t need a yellow brick road to follow along, but you will discover some magical new tricks to level up your AI skills!
Jennifer Reif is a Developer Advocate at Neo4j, speaker, and blogger with an MS in CMIS. An avid developer and problem-solver, she has worked with many businesses and projects to organize and make sense of widespread data assets and leverage them for maximum business value. She has expertise in a variety of commercial and open source tools, and she enjoys learning new technologies, sometimes on a daily basis! Her passion is finding ways to organize chaos and deliver software more effectively.
2nd Talk - Graph Data Science: How & Why
Arthur Bigeard and CEO of G.V() - Founder
Graph analytics is a major area of data science. In this talk, we’ll discuss the use cases that best apply to graph analytics, how to get started and what tools are available to support you in learning and applying graph data science. We’ll cover some of the most popular graph data science libraries and algorithms available, and how to run them on a sample dataset. We’ll briefly introduce graph databases in the mix as well as how organizations leverage them to deliver cutting edge solutions for their industry.
Arthur Bigeard is the Founder and CEO of G.V(), a Glasgow-based startup building the next generation of tooling for knowledge graphs. His mission is to create universal, plug-and-play graph database solutions to simplify and accelerate the day-to-day of working with graph data.