Neo4j Live Demo: Improve Personalized Recommendations with Graph Data Science
If you’re looking to delight customers with tailored recommendations that foster loyalty and boost satisfaction, this 20-minute session is for you.
Using analytics and ML, graph data science provides fast, personalized recommendations – even when dealing with petabytes of data.
Join Nick Johnson, Neo4j’s Senior Product Marketing Manager for Graph Data Science, to understand:
- What graph data science is
- Why graph data science is better at solving certain problems (like custom recommendations!)
- The way data scientists traditionally approach recommendation engines
- How to build personalized recommendations based on behavioral data using graph data science
David Allen is Technology Partner Architect at Neo4j. He is a deeply technical generalist with experience in managing teams and driving towards complex goals. The most fun he has had in his career is when he is learning something new, or trying to figure out how to do something that hasn’t been done before.
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