Artificial intelligence-based blockchain-driven financial default prediction

TL;DR

This paper explores how combining blockchain and artificial intelligence enhances financial default prediction by improving data security, credibility, and predictive accuracy, offering new strategies for risk mitigation and system stability.

Contribution

It introduces a novel integration of blockchain and AI for default prediction, emphasizing data credibility and advanced modeling in financial risk management.

Findings

Blockchain ensures data integrity and decentralization.

AI models improve default prediction accuracy.

The approach offers new risk mitigation strategies.

Abstract

With the rapid development of technology, blockchain and artificial intelligence technology are playing a huge role in all walks of life. In the financial sector, blockchain solves many security problems in data storage and management in traditional systems with its advantages of decentralization and security. And artificial intelligence has huge advantages in financial forecasting and risk management through its powerful algorithmic modeling capabilities. In financial default prediction using blockchain and artificial intelligence technology is a very powerful application. Blockchain technology guarantees the credibility of data and consistency on all nodes, and machine learning builds a high-level default prediction model through detailed analysis of big data. This study offers financial institutions new thoughts on financial technology in terms of credit risk mitigation and financial system stabilization.