Fueling innovative software
July 15-18, 2019
Portland, OR
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Amy Hodler

Amy Hodler
Graph Analytics and AI Program Manager, Neo4j

Amy E. Hodler is a network science devotee and AI and graph analytics program manager at Neo4j. She promotes the use of graph analytics to reveal structures within real-world networks and predict dynamic behavior. Amy helps teams apply novel approaches to generate new opportunities at companies such as EDS, Microsoft, Hewlett-Packard (HP), Hitachi IoT, and Cray. Amy has a love for science and art with a fascination for complexity studies and graph theory. She tweets as @amyhodler.

Sessions

11:00am–11:40am Thursday, July 18, 2019
Graph algorithms: Predict real-world behavior
Building Data-Intensive Applications
 Location: E143/144
Secondary topics:  Data Driven
Amy Hodler (Neo4j), William Lyon (Neo4j)
Average rating: ****.
(4.70, 10 ratings)
Graphs provide a method to store and analyze the relationships within the data. Algorithms deepen our understanding of data through aggregation and perspectives to help developers make valuable business decisions for the future based on existing scenarios. Amy Hodler and Mark Needham lead you through a crash course in how to use graph algorithms as part of your big data toolkit. Read more.