In the ever-changing financial landscape, technology plays a pivotal role in meeting the diverse needs of financial institutions. This paper delves into the pressing challenge faced by software companies in delivering scalable banking solutions, responding to the dynamic demands of the financial sector. The core issue revolves around the need for software adept at managing the high dimensions of customer data, transactions, and deposits. Our contribution unfolds as a comprehensive guide, navigating the intricacies of developing robust banking solutions. Synthesizing insights from related research papers, this article serves as a detailed roadmap for software companies, empowering them to establish a resilient foundation for creating innovative and high-performance banking solutions. We address key aspects such as scalability, security, and efficient resource management. By emphasizing the importance of strategic technological interventions, the corresponding guide equips software companies to not only navigate the complexities of the financial landscape but also revolutionize the industry.
Biazar Amlashi, E. (2023). Scaling Banking Solutions with Robust Technologies: A Guide for Overcoming High-dimensional Challenges. Journal of Applied Intelligent Systems and Information Sciences, 4(2), 22-29. doi: 10.22034/jaisis.2023.418328.1071
MLA
Esmaeil Biazar Amlashi. "Scaling Banking Solutions with Robust Technologies: A Guide for Overcoming High-dimensional Challenges". Journal of Applied Intelligent Systems and Information Sciences, 4, 2, 2023, 22-29. doi: 10.22034/jaisis.2023.418328.1071
HARVARD
Biazar Amlashi, E. (2023). 'Scaling Banking Solutions with Robust Technologies: A Guide for Overcoming High-dimensional Challenges', Journal of Applied Intelligent Systems and Information Sciences, 4(2), pp. 22-29. doi: 10.22034/jaisis.2023.418328.1071
VANCOUVER
Biazar Amlashi, E. Scaling Banking Solutions with Robust Technologies: A Guide for Overcoming High-dimensional Challenges. Journal of Applied Intelligent Systems and Information Sciences, 2023; 4(2): 22-29. doi: 10.22034/jaisis.2023.418328.1071