Graphs are brilliant. They're really well studied and have some amazing properties, especially for predictive analytics. But then there's AI: it's super-cool and also has some amazing abilities to guess the future given the past.

So, which are we meant to choose? I'd argue we should use both.

In this talk we'll see how graphs give us a framework for contextualizing the world around us. We'll explore how simple rules from graph theory can evolve our model to show how it might be in the future.

But that's not all, we'll also see how we can take our graphs and feed them into our ML pipelines for better scores than simple row-wise data using graph neural nets. And we'll see how to learn on graphs directly with graph convolutional networks.

Finally, we'll close the loop by asking our machine learning to tell us about other queries we should be running against the input graph to find patterns in data we don’t even know are valuable today.

Jim Webber
Chief Scientist, Neo4j

Dr. Jim Webber is Neo4j’s Chief Scientist and Visiting Professor at Newcastle University. At Neo4j, Jim works on fault-tolerant graph databases and co-wrote O’Reilly’s Graph Databases book.

Prior to Neo4j, Jim worked on fault tolerant distributed systems. First at Newcastle University startup Arjuna and then for a variety of clients for global consulting firm ThoughtWorks. Along the way Jim previously co-authored the books REST in Practice and Developing Enterprise Web Services - An Architect’s Guide.

Jim is active in the software development and database research communities, presenting regularly around the world. His blog is located at and he tweets sometimes at @jimwebber.

Benoît Simard
Field Engineer, Neo4j

Benoît est un développeur en informatique passionné par les nouvelles technologies et la philosophie du libre.

Ayant réalisé ses études à l'institut des mathématiques appliquées à Angers, son domaine d'expertise s'est tourné vers le domaine du web et des graphes. Evangéliste Neo4j depuis 3 ans, Benoît travaille actuellement chez Neo4j France comme expert et consultant technique. Il aime par ailleurs partager ses connaissances sur les graphes avec la communauté et lors de sessions de formation dédiées.
Kelsey Bieri
Data Governance Analyst, ICC

Kelsey Bieri is a Data Governance Analyst at ICC in the Master Data Management and Data Governance Practice. She has contributed to numerous data governance and data lineage projects in the Banking industry, helping organizations build a better understanding of their data universe. Kelsey holds a degree in Management Information Systems from the College of Business at Ohio University.