A knowledge graph is a data graph combined with iterative machine learning, used to solve many enterprise challenges. It's a visual representation of how data is connected and how things are connected. Graphs have a high degree of semantic fidelity, making it easy for business leaders to understand the schema of the graph. They're useful for describing processes and can be used anywhere information needs to flow. Data lakes are never fully completed, but graphs can mobilize data, providing an extensible platform for actionable, end-to-end customer, process, and business analytics. Knowledge graphs provide a transformative platform for solving complex problems, with applications in customer 360 views, real-time recommendation engines, marketing attribution, enterprise search, and proactive risk management. They're also useful for building smart searches, recognizing graph problems, and optimizing data storage.