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The article elaborates on the transformative impact of Generative AI on knowledge production, highlighting its ability to synthesize novel content across various modalities. It emphasizes the distinction between fluency and true understanding, outlining challenges like factual integrity and traceability. Furthermore, it discusses the role of AI in scientific research and organizational workflows, stressing the need…
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The enterprise knowledge management landscape is rapidly evolving due to Generative AI, transitioning from passive document repositories to dynamic ecosystems that integrate knowledge into workflows. Organizations must enhance governance and architectural maturity to ensure AI outputs are explainable and trustworthy, paving the way for informed decision-making and resilient operations by 2025.