The interview discusses the evolution of data from collected data to connected data and knowledge graphs. Graph databases were developed to address the limitations of relational databases in handling complex relationships between data points. The conversation highlights the importance of leveraging connections in data for better insights and decision-making. Companies in various industries, such as financial services, cybersecurity, manufacturing, healthcare, and retail, are adopting graph technology to solve specific problems like fraud detection, supply chain management, personalized recommendations, and more. When choosing a graph technology, it's essential to prioritize data reliability over performance speed, as corruption in a graph database can have devastating consequences. The company Neo4j is growing rapidly in the APAC region, with big brands adopting its technology for various use cases. The interview also touches on the importance of sustainable growth and the need to make graph technology more accessible and user-friendly. Daniel Ng, one of the top 100 power leaders in marketing and communication, emphasizes the value of learning, contributing, and being happy while working, and invites everyone to explore the potential of graph technology for their data.