Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Artificial Intelligence and Machine Learning in FinTech: From Predictive Analytics to Optimization Approaches. |
| Συγγραφείς: |
Abudari, Basel, Ammouriova, Majsa, Juan, Angel A. |
| Πηγή: |
Information; Jul2026, Vol. 17 Issue 7, p634, 27p |
| Θεματικοί όροι: |
Financial technology, Mathematical optimization, Prediction models, Computer simulation, Artificial intelligence, Machine learning, Business forecasting, Risk managers |
| Περίληψη: |
Artificial intelligence (AI) and machine learning (ML) are increasingly important in financial technology (FinTech) applications involving large datasets, uncertainty, and complex decision-making. First, this paper presents a review of AI- and ML-based approaches in FinTech from 2010 to 2025, with particular emphasis on the relationship between predictive analytics and optimization-based decision-making. The review identifies two major research streams: (i) predictive AI/ML models for financial forecasting, stock price prediction, risk management, and fraud detection and (ii) optimization approaches for constrained financial decision problems, including portfolio optimization, asset–liability management, and risk-based decision-making. These two streams have largely evolved independently, which creates challenges in real financial environments, where uncertainty in predictions directly affects decision quality. Secondly, the paper also provides a decision-oriented perspective on how AI/ML-based predictions can support optimization under uncertainty and practical financial constraints. It highlights the role of uncertainty-aware optimization, simulation-based methods, and hybrid approaches such as simheuristics in improving the robustness of financial decision-making. Finally, the paper identifies open research directions toward integrated financial decision-support frameworks that combine predictive analytics, optimization, and simulation to address dynamic and uncertain FinTech environments. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: |
Complementary Index |