Neo4j Live Demo: Easily Identify Sources of Supply Chain Gridlock

Are you seeking to pinpoint bottlenecks and inefficiencies in your supply chain before they impact your operations? Neo4j Graph Data Science simplifies the process for supply chain professionals to map and proactively identify sources of congestion, excess inventory, and other factors causing delays, ultimately enhancing efficiency.

Join Nick Johnson, Product Marketing Manager for Graph Data Science, for this 20-minute session to understand:

  • What graph data science is and its applications in supply chain management
  • How supply chain professionals traditionally identify sources of gridlock and inefficiencies
  • Why graph data science is better at solving your most pressing supply chain challenges
  • How to visually map and identify bottlenecks and areas for improvement using Neo4j Graph Data Science in your supply chain operations
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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