What you need to know: Data, apps, and AI for graph databases

Agenda:
5:30 - 6:15: Food, networking
6:15 - 7:30: Intros and tech talk

Abstract:
Graphs are different from other types of databases because they store relationships between data points. This makes them ideal for applications where the connections between data provides additional context, improving decision-making with existing data.
In this session, we will walk through what a graph database is and how it can transform your applications and data. We will explore creating, querying, and displaying data and learn how to integrate a graph database into applications. Finally, we will discuss how graph databases can be used in AI applications and the strengths they bring to the table. Live code will demonstrate these concepts in action.
Join us to learn how to leverage graph databases in your applications and AI projects.

Speaker Bio:
Jennifer Reif is a Developer Relations Engineer at Neo4j, conference speaker, blogger, and an avid developer and problem-solver. She holds a Master’s degree in Computer Management and Information Systems and has worked with large enterprises to organize and make sense of widespread data assets and leverage them for maximum business value. She has worked with a variety of commercial and open source tools and enjoys learning new technologies, sometimes on a daily basis