Abstract Book of the 8th International Conference on Business, Management and Finance
Year: 2025
DOI:
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AI-Driven Algorithms: Transforming Financial Decision-Making for the Future
Dr. Binbin Cui
ABSTRACT:
This abstract explores how AI-driven algorithms are redefining financial decision-making, transforming traditional models with unprecedented speed, accuracy, and intelligence. Machine learning and predictive analytics are automating complex processes, analyzing vast datasets, and delivering real-time insights. Key innovations include:
1. AI-driven market trend forecasting
2. Dynamic risk assessment with real-time anomaly detection
3. Autonomous trading systems that adapt to market shifts
4. Hyper-personalized financial strategies powered by deep learning
AI-powered ERP systems, such as BlackRock’s Aladdin and JPMorgan Chase’s LOXM, leverage advanced neural networks to optimize asset management, execute precision-driven trades, and enhance risk mitigation. These systems continuously evolve, learning from financial ecosystems to refine decision-making.
By synthesizing diverse data sources—including market signals, social sentiment, and global economic indicators—AI-driven algorithms uncover hidden patterns, reducing forecasting errors by 30–50% and potentially boosting financial sector profitability by 38% by 2035. This paper examines the disruptive potential of algorithmic finance, highlighting how AI is democratizing financial intelligence, reshaping investment paradigms, and accelerating the shift toward autonomous financial ecosystems.
keywords: AI-Driven Finance