Mastering Graph Data Science: Techniques and Applications
A Talk by Alison Cossette (Graph Data Science, Neo4j)
About this Talk
Join Alison Cossette for a comprehensive two-hour Graph Data Science masterclass at Connected Data London. This session is designed for data scientists, engineers, and decision-makers looking to leverage graph algorithms and graph machine learning to gain deeper insights from their data.
This will include leveraging Neo4j, the leading graph database technology, to demonstrate how graph data science can be effectively applied to identify hidden patterns, predict relationships, and enhance decision-making. Attendees will learn about fundamental concepts like centrality, community detection, and node embeddings, while also gaining hands-on understanding of applying these techniques to real-world problems.
This session will include practical examples and use cases demonstrating how graph data science can solve complex challenges in fraud detection, recommendation systems, knowledge discovery, and more. Additionally, Alison will showcase how to apply graph data science in the management of Generative AI (GenAI) applications, highlighting how graph-based insights can optimize model performance, manage data provenance, and ensure responsible AI usage.
Attendees will deepen their understanding of the graph data science workflow with a focus on Neo4j, exploring advanced concepts in data modeling, running analytics, and graph ML applications. This masterclass will provide valuable insights and practical knowledge for those already familiar with graph technology, helping them enhance their graph data science toolkit.
About The Speakers
Graph Data Science, Neo4j
Graph data expert in responsible AI and data governance. Developer Advocate at Neo4j, NIST contributor, AI Alliance member. Research at Stanford, AI studies at Northwestern. Global speaker, including keynotes at ODSC, AI Risk Summit. Focus on data provenance, risk assessment, and responsible AI.
We’re a cloud tech company that provides organisations around the world with computing infrastructure and software to help them innovate, unlock efficiencies and become more effective. We also created the world’s first – and only – autonomous database to help organise and secure our customers’ data.
