GraphAware provides scalable graph database solutions and machine learning capabilities powered by Neo4j. It discusses how graph databases and machine learning can be combined to address challenges like data storage, model storage, and communication. Graph sharding is presented as a way to simplify database creation, improve isolation, increase performance, and separate training and model data. Example applications discussed include mobile user modeling, recommendation systems, and organizing coronavirus research.