Michal Bachman, the founder of GraphAware, has been working with Neo4j for several years, helping customers implement it and predicting that machine learning and AI will play a major role in the future of graph technology. GraphAware started using Neo4j to perform natural language processing on unstructured text in 2014 and has since developed a product called Hume, which is a graph-powered insights engine turning data into knowledge. Michal's favorite aspect of Neo4j is its new features in version 4.0, particularly the multi-database feature and the ability to apply security on nodes and relationships. The graph landscape has evolved significantly since Michal started working with Neo4j, from being a library for Java developers to becoming an enterprise-ready product with a vibrant community. Michal enjoys working with people implementing Neo4j, seeing the transformation it brings, and finding unusual use cases such as curriculum authoring systems and rules engines. He advises those getting started with Neo4j to start using it, focus on data modeling, and experiment with natural language processing. The future of graph technology holds promise in machine learning, with graphs being the underpinning layer for AI applications, and Michal predicts that Neo4j will move towards baked-in algorithms and more graph-based machine learning.