Vol. 4 No. 2 (2024): Hong Kong Journal of AI and Medicine
Articles

AI-Optimized Blockchain for Financial Services: Enhancing Transaction Speed and Reducing Costs

John Smith
Ph.D., Department of Computer Science, University of Technology, New York, USA

Published 26-09-2024

Keywords

  • Artificial Intelligence,
  • Blockchain

How to Cite

[1]
J. Smith, “AI-Optimized Blockchain for Financial Services: Enhancing Transaction Speed and Reducing Costs”, Hong Kong J. of AI and Med., vol. 4, no. 2, pp. 67–72, Sep. 2024, Accessed: Jan. 17, 2025. [Online]. Available: https://hongkongscipub.com/index.php/hkjaim/article/view/66

Abstract

The integration of Artificial Intelligence (AI) with blockchain technology in financial services presents a revolutionary opportunity to enhance transaction speed, reduce costs, and improve the overall efficiency of decentralized finance (DeFi) systems. This paper explores how AI techniques can optimize blockchain performance by employing machine learning algorithms for transaction validation, predictive analytics for risk assessment, and smart contracts for automated processes. The paper also discusses the challenges faced in implementing AI-optimized blockchain solutions, such as regulatory compliance, data privacy, and technological integration. By examining current case studies and real-world applications, this study highlights the potential benefits and implications of AI in transforming financial services through enhanced transaction efficiency and reduced operational costs. Ultimately, this research aims to provide insights into how AI-optimized blockchain can pave the way for more secure, efficient, and cost-effective financial transactions in the DeFi landscape.

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