Implications of Implementation of Artificial Intelligence in the Banking Business with Correlation to the Human Factor

• 作者: Krunoslav Ris Zeljko Stankovic Zoran Avramovic
• 来源期刊: 电脑和通信(英文)
• 学科: 经济
• 关键词: Artificial Intelligence Machine Learning AUTOMATION Banking Systems Virtual Assistants Chatbots
• 年，卷（期）: dnhtxyw_2020,（11）
• 页码范围: 130-144
• 页数: 15页
• 分类号: F42

摘要

Banks daily interact with a vast number of customers and are still depending on a legacy system. With today’s advances in technology, regarding lifting almost all processes to automation, from start of production to finish, there is a need for revolution in archaic monetary management institutes. By not being in tune with the contemporary trends and times, banks are losing on an opportunity to transform some of their business models and relieve humans of repetitive work, prevent frauds, make better decisions and consequently gain losses. Banks can engage in implementation of new Virtual Assistants and Artificial Intelligence (A.I.) machine learning technologies, just as the other industries have engaged in modernizing <i>i.e. </i> medical checks, medical reports and evaluations, and this research paper will elaborate and emphasize the impact of artificial intelligence implementation on the banking sector processes. This research is based on both quantitative and model-based proofs of system performance by using several analytical tools, such as SPSS. The automation process helps institutions to enhance profitability, performance and to reduce human dependency. In a nutshell, Virtual Assistants powered with Artificial Intelligence improve the business process performance in every sector of business, especially the banking sector making it fast, reliable and not human dependent.