Financial technology decision support systems

Abstract

Abstract The financial technology industry was the first and most successful to combine machine learning algorithms based on big data with artificial intelligence techniques. The use of decision support systems (DSSs) procedures will deliver financial products, service channels, service methodologies, and risk management in the quickest and most cost-efficient manners. The deep service value chain’s high-end finance was significantly impacted by the inventive and quick development of smart artificial intelligence (AI) and machine learning (ML) techniques brought about by all of the decision-making processes. This study presents digital services, including DSS procedures utilized in financial service operations. The fundamentals of DSS approaches, as well as AI and ML, are then demonstrated, and an example application of a campaign management system for tax repayment rescheduling is provided.

Keywords

• Fintech artificial intelligence
• Fintech decision support systems
• Fintech machine learning
• Digital finance management
• Financial service digitalization