As part of my series about the women leading the Artificial Intelligence industry, I had the pleasure of interviewing Amy Hodler, a network science devotee, AI and Graph Analytics Program Manager at Neo4j, and a co-author of the O’Reilly book, “Graph Algorithms: Practical Examples in Apache Spark and 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 Inc. Amy has a love for science and art with a fascination for complexity studies and graph theory.
Thank you so much for doing this with us! Can you share with us the ‘backstory” of how you decided to pursue this career path?
My decision to become involved in analytics and AI developed organically. I have always been interested in how things work, and in particular, how we use inference to come to conclusions. Though I didn’t start my career in analytics, by following my interests and curiosity I found work in a few projects in that field.