As Neo4j's chief scientist, a report on knowledge graphs was written to explore the concept of digital twins and their potential for businesses. A digital twin is a virtual representation of a physical object or process that serves as its real-time counterpart, but it can also be applied to complex systems of software and people. Digital twins have been used in various industries such as power generation, transportation, and pandemic response, often in combination with knowledge graphs. However, implementing digital twins poses challenges due to the complexity of modern systems and the limitations of traditional data technologies like relational databases. Knowledge graphs can help overcome these challenges by providing a more efficient way to process and query complex interconnected domains. A case study from Lending Club demonstrates the potential of digital twins on top of knowledge graphs, enabling real-time insights into system performance and behavior. The report also highlights vertical opportunities for building digital twins in various domains such as asset tracking, maintenance, and financial flows.