This talk focuses on why Graphs have become one of the biggest trends in Machine Learning. Graph Machine Learning based on Graph Analytic Algorithms is driving significant improvements in Fraud/Anomaly Detection, Ranking (Page Rank), Recommendation Engines (collaborative filtering), text summarization, and other NLP tasks. We will cover Graph Analytic Algorithms, their applications, and the more novel–but equally exciting–field of Graph Machine Learning, including topics such as Graph Embeddings, Graph Neural Networks, and applications of Graph Machine Learning. At the end of this session, you will better understand Graph Machine Learning techniques, when to use them, and when to consider other methods