We met up with Andy Emmonds, Chief Transport Analyst at Transport for London, to discuss his team's use of graph technology in creating a digital twin that enables quicker identification of incidents on the road and impacts other sections of the transportation network. Neo4j is used instead of relational databases due to its ability to handle interconnected data, enabling faster and more effective interventions. Andy shares surprising results from using Neo4j, such as being able to make relationships between data points, which has enabled his team to build a decision support system that incorporates this capability. He advises keeping it simple when getting started with Neo4j, citing a proof-of-concept project that elevated his organization's executive recommendation to take the technology further. Andy envisions a future where graph technology is used to develop smart cities, bringing together digital twins and making them seamless for users, enabling a wide range of applications such as transportation, shopping, and entertainment.