JOIN US FOR A LIVE NEO4J SUPPLY CHAIN DEMO

Attend this live demo session to see Neo4j in action. In just 30 minutes, product experts will highlight enterprise supply chain use cases and showcase key product features. They’ll also answer questions from the audience.

This live demo will guide you through how graph technology can enable your supply chain management solution, including:

Blazing Fast Performance:  Transverse multiple data relationships in real time
Cypher Queries:  Build simple queries that span multiple complex relationships
*  Graph Analytics:  Explore graph data and reveal hidden insights

This supply chain product demo will demonstrate:

*  Visualizing shipping paths and costs related to those paths
*  Discovering critical shipping sites and optimizing utilization with graph data science
*  Performing “what if” scenarios on supply chain routes and issues

David Allen
Technology Partner Architect, Neo4j

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.

 
When not trying to improve something technical, you can usually find David playing guitar or cycling. He loves meeting new people, and has a very keen interest in language and culture and loves to find common ground with other people through travel and music.

Jaime D'Anna
Partner Technical Marketing, Neo4j

Jaime is from the Technology Partner team at Neo4j, with a seasoned career successfully executing channel and product campaigns across industries, geographies and technologies. He has “led the charge” for a number of SaaS, Advanced Analytics and AI solutions from start-ups to larger Enterprise Fortune 200 companies, such as IBM, Oracle and EMC among others. As a graduate of Santa Clara University, Jaime applies his technical, market and industry knowledge enabling today’s organizations to benefit from best-in-class solutions and optimized outcomes from their data.

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