Siloed systems in enterprises create inefficiencies and hinder data sharing across disjointed platforms.Hypergraphs offer a solution by enabling interconnected relationships with hyperedges, allowing flexibility and adaptability in modern enterprises.Hypergraph cores provide a powerful modelling framework to break free from silos and enhance operational capabilities.Key features of hypergraphs include multi-dimensional relationships, hierarchical structures, and dynamic adaptability.Hypergraph cores support attribute-rich nodes, dynamic weighting, temporal dimensions, and semantic integration for complex modelling.They excel in applications like business process modelling, supply chain management, customer journey orchestration, and advanced AI capabilities.Challenges of hypergraph adoption include specialized knowledge requirements, complex mapping, evolving tool ecosystem, and integration difficulties.Solutions involve low-code platforms, automated tools, open standards, and community support to facilitate adoption and implementation.Hypergraphs enhance businesses' operations by simulating scenarios, providing actionable insights, and enabling advanced optimization techniques.Their integration with technologies like IoT, edge computing, quantum computing, and AI opens new possibilities for innovation across industries.Understanding hypergraph cores' challenges and limitations is crucial for successful adoption, prompting a proactive approach to mitigate risks.