Industry leaders including AstraZenca and Meredith are leveraging graph data science to tackle evolving data challenges, generate more value from their existing data and enhance AI and ML applications.

Join Amy Hodler and Mark Needham for a 30 minute discussion on their book Graph Data Science For Dummies, which unpacks how graph data science helps you tackle challenges like fraud prevention, enhancing recommendations and improving patient outcomes using graph data science (GDS).

In this discussion with the book’s authors, you’ll:

  • Explore the fundamentals of graph data science 
  • Learn how to make better predictions with graph analytics
  • Dive into real-world use cases for GDS technology

You’ll learn more about graph analytics and algorithms and how to use them for machine learning and solving real-world problems.

Amy Hodler
Director, Graph Analytics and AI Programs, Neo4j

Amy Hodler is the Graph Analytics & AI program director at Neo4j. She loves seeing how the community uses graph analytics to reveal structures within real-world networks and infer behavior.

Amy is the co-author of the O'Reilly book Applied Graph Algorithms in Apache Spark and Neo4j, published in early 2019 and updated July 2020.

Mark Needham
Developer Relations Support Engineer, Neo4j

As a developer relations engineer, Mark helps users embrace graph data and Neo4j, building sophisticated solutions to challenging data problems. He is the co-author of the O'Reilly book, "Applied Graph Algorithms in Apache Spark and Neo4j" published in spring 2019.

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