A Practitioner's Guide to Graphs - Tim Ainge, Good Collective
Graph fundamentals offer underutilized opportunities for smarter, cheaper AI applications
“the more I learn about the fundamentals of graph data structures and algorithms, the more interesting opportunities seem to present themselves”
Tim Ainge of Good Collective presents a practitioner-focused guide to applying graph data structures in AI applications, deliberately skipping GraphRAG and agent memory graphs to focus on underlying patterns. The talk addresses why practitioners often hit a 'valley of despair' when adopting graphs and how mastering graph fundamentals unlocks genuine AI application improvements. Useful for AI builders but contains no novel research or industry-shifting claims.