Thinking about capitalizing relationships in your data to enhance predictions or your machine learning pipelines and models? Looking to make your Generative AI outcomes more accurate and transparent? 

In this technical session and demo,  Katie Roberts, Ph.D., one of Neo4j’s top data scientists, and Sydney Beckett, Sr. Solutions Engineer show how graphs and graph data science can help you unlock the relationships and predictive capabilities with your data.

In this on-demand session, you’ll learn about graph embeddings and how they:


  • Make it easy to take advantage of topological features in ML pipelines 
  • Build on and enrich graph data science workflows.
  • Help in evaluating the similarities of sparse and heterogeneous data structures.

We’ll also discuss how knowledge graphs can help ground GenAI workflows.  

You’ll hear real-world use cases where embeddings have helped translate complex data patterns into tangible business value.  We’ll end with an enterprise-ready database demo that will show you how easy it is to get started.

Katie Roberts, Ph.D.
Data Science Solution Architect, Neo4j

Katie is a Data Science Solution Architect at Neo4j. She completed her degree in Cognitive Neuroscience at Harvard University. Passionate about people and problem solving, she transitioned to focusing on helping people and businesses leverage data for impactful outcomes. As a customer-facing data scientist, she has had the opportunity to work with large and small organizations across a variety of industries. At Neo4j she helps teams up-level their data science practice with graph data science. 

Sydney Beckett
Senior Solutions Engineer, Neo4j

Sydney “Syd” became a graph enthusiast through her work with clients to build graph-based solutions as well as supporting data science teams during her time at Deloitte and Accenture. Now she uses her graph expertise, to help customers realize the value of graph technology for their organization.  She also contributes by teaching Neo4j graph database and data science training classes. Syd’s hobbies include interior design and defeating her car navigation system’s estimated drive time.

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