ML Drift - How to Identify Issues Before They Become Problems

Amy helps organizations see how they can achieve more responsible AI by improving machine learning explainability, accuracy, and bias detection. As the AI evangelist for Fidder Labs, she educates data scientists on the use of continuous monitoring for modern MLOps.

Amy is the co-author of O’Reilly books on Graph Algorithms and Knowledge Graphs as well as a contributor to the upcoming book, AI on Trial. Amy has consistently helped teams apply novel approaches to generate new opportunities working at companies such as Microsoft, Hewlett-Packard (HP), Hitachi IoT, Neo4j, and Cray. Amy has a love for science history and a fascination for complexity studies.

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.