By harnessing the combined power of knowledge graphs and generative AI, enterprises can unlock significant potential for knowledge-driven decision-making, innovation, and operational efficiency. Knowledge graphs, with their structured representation of a domain, enhance the performance of generative AI by providing context, validating outputs, and reducing biases, thereby ensuring alignment with strategic business objectives. Conversely, generative AI enriches knowledge graphs by filling knowledge gaps and predicting future states, thereby increasing the utility, accuracy, and relevance of these graphs. The synergy between knowledge graphs and generative AI serves as a game-changer for businesses, driving transformative impacts across various organisational functions.
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