If you’re looking to delight customers with tailored recommendations that foster loyalty and boost satisfaction, this 20-minute on-demand webinar is for you.
Using analytics and ML, graph data science provides fast, personalized recommendations – even when dealing with petabytes of data.
- 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
Nick Johnson is a Senior Product Marketing Manager for Graph Data Science at Neo4j, where he works to bring Graph Data Science to life with highly targeted messaging, positioning, case studies, content, and more. Prior to Neo4j, Nick worked in Product Marketing across several organizations, including Microsoft, SAS, and Orbit. Nick holds a master’s degree in International Development from Sciences Po and bachelor’s degrees in International Studies and Swedish from the University of Washington.
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