Enterprises face challenges in adopting graph technology, which represents a paradigm shift for most organizations. This shift is partly driven by a change in mindset, empowering more people to envision the possibilities of graph technology and drive demand from the business upwards. Dan Woods, who spoke at Neo4j GraphTour, emphasized that systematic adoption of graphs requires a number of steps, including finding initial use cases, creating a center of excellence, expanding it operationally, and making it secure. He also highlighted two key factors in enterprise graph technology: enabling a large number of people to understand the power of thinking in graphs and building the necessary plumbing for graph ETL. Woods noted that graph ETL is the skill that will be the boundary for companies as they adopt graphs, and he believes that Neo4j's Morpheus feature will make this process easier. He also discussed the shift from a project-based approach to adopting graphs to using graphs as a platform for technology, and how Google Kubernetes Enterprise and Neo4j can work together to integrate data from microservices into a unified view. Additionally, Woods sees an overlap between graph technology and data warehouses, where graph technology can provide integration of data from various applications and enable the creation of a unified model that radiates value. Finally, he finds it interesting that Neo4j is trying to be both an operational database and an analytics OLAP database, which has not happened in the relational world.