Vol. 3 No. 2 (2023): Advances in Deep Learning Techniques
Articles

Distributed Systems for Financial Reconciliation and Clearing: Enhancing Real-Time Performance and Resilience

Koushik Sundar
Independent Researcher, New Jersey, USA
Cover

Published 11-10-2023

Keywords

  • distributed systems,
  • financial reconciliation

How to Cite

[1]
K. Sundar, “Distributed Systems for Financial Reconciliation and Clearing: Enhancing Real-Time Performance and Resilience ”, Adv. in Deep Learning Techniques, vol. 3, no. 2, pp. 75–114, Oct. 2023.

Abstract

Accounting and clearing have long plagued the banking industry. These duties ensure accurate, transparent, and timely financial transactions. Batch processing and centralized architecture hinder real-time transaction handling, scalability, and robustness within traditional approaches. With distributed systems, the financial industry may improve its working abilities and solve key difficulties.