Graph technology is playing an increasingly important role in various fields such as cryptocurrency, supply chain management, fraud detection, and digital twin. Graph databases can encode blockchain data in ways that make it safer, more transparent, and monetizable for financial institutions. Additionally, graph-base digital twin knowledge graphs can help brands optimize their supply chains by providing a trackable and granular picture of all products, suppliers, and facilities. Graphs can also be effective in detecting fraud and anomalies by leveraging connections to stay ahead of new forms of crime. Furthermore, graph data science is moving towards mainstream adoption, with experts emphasizing the importance of understanding how to work with graphs beyond just data analysis.