Enterprise financial risk analysis is undergoing rapid transformation through artificial intelligence and big data technologies. A comprehensive research survey examines how advanced computational methods and large language models are revolutionizing the way organizations predict and manage financial risks. The study systematizes existing approaches to enterprise risk analysis, comparing analytical methods and highlighting influential research contributions across finance and management disciplines. Researchers identify current limitations in risk modeling while proposing five promising directions for future investigation. As enterprises face increasingly complex financial landscapes, the integration of machine learning algorithms with vast datasets enables more sophisticated risk prediction capabilities.
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