Optimizing Personal Finance Management through AI-Driven Decision Support Systems

Optimizing Personal Finance Management through AI-Driven Decision Support Systems

연구 분야: Artificial Intelligence

학회: 2024 IEEE Region 10 Symposium (TENSYMP)

The paper explores the integration of artificial intelligence (AI) into decision support systems for personal finance management. As financial landscapes become increasingly complex, traditional approaches often fail to keep pace with evolving market conditions and diverse individual goals. AI-driven systems offer a promising solution by leveraging advanced algorithms to analyze data, predict market trends, and provide personalized recommendations. These systems aim to enhance budgeting, investment strategies, debt management, and retirement planning, thereby empowering individuals to make more informed financial decisions and improve their overall financial health. However, challenges such as data privacy and transparency must be addressed to ensure the responsible deployment of these technologies. This research underscores AI's transformative potential in financial technology, highlighting its role in revolutionizing personal finance management practices.