Application of Big Data and Artificial Intelligence in Financial Management

In the digital era, big data and AI are core drivers transforming corporate financial management, addressing limitations of traditional models in data processing, decision support, and risk management. Big data (defined by the 5Vs and multi-layered architecture) and AI (featuring machine learning, NLP, and visual technology) complement each other: big data fuels AI training, while AI enhances data value mining. These technologies enable intelligent automated data processing, real-time dynamic decision support, and comprehensive risk management (identification, assessment, early warning). Key applications include financial data visualization, budget optimization, cash flow management, AI-driven automated financial processing, and real-time internal control. Critical challenges include data security risks, tech update pressures, talent shortages, and inadequate policies/standards. Solutions involve multi-dimensional data protection, proactive tech upgrading, interdisciplinary talent cultivation, and improved regulations/industry standards. The study concludes that big data and AI reshape financial management toward digitalization and intelligence. Future trends focus on integrating blockchain/quantum computing, deepening business-process integration, and advancing interdisciplinary ethical-legal research, offering insights for enterprises to optimize financial management via technological innovation.