Knowledge graphs are being increasingly used to unlock the full potential of data assets for AI applications, with many firms exploring or planning to use them this year. Firms have achieved early wins with AI in areas such as customer experience and cost-saving efforts, but knowledge graphs can provide a deeper understanding of data, enabling more strategic decisions. Knowledge graphs are powerful frameworks that capture relationships between entities from a real-world domain using a graph structure, which formats data as an interconnected network. They excel at connecting data across disparate systems and data sources, making them well-suited for applications requiring real-time analytics. The arrival of generative AI has brought a demand for knowledge-based reasoning, with 48% of FIMA survey respondents planning to use techniques to improve responses generated by AI. Knowledge graphs are recognized as the industry standard for enterprise-ready AI, and many leading analyst firms agree that they power a new generation of AI capable of providing a deep understanding of data.