Purpose

In cloud computing, banking knowledge with business intelligence (BI) will be a better option for the users, and the users do not have an overall picture of the whole thing until the entire job is completed.

Design/methodology/approach

Although the constraints are costly, complex, inflexible and integrated BI infrastructures, it helps to combine the banking and electronic commerce (EC) application data. Furthermore, this paper explores cloud computing infrastructure as a potential remedy for data processing issues.

Findings

A modern cloud computing with artificial intelligence, environmental climate to shorten periods for BI delivery, rising the expense of BI programs relatively with traditional BI of EC applications, provide customers with the ability for quicker rollout and better flexibility to incorporate research and to improve the performance, accuracy and efficiency.

Originality/value

In the technological world of today, the new era of BI analytical data management has been established with certain restrictions on the adoption of BI.

中文翻译：

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用于银行和电子商务应用程序的人工智能云计算

目的

在云计算中，具有商业智能（BI）的银行知识将是用户更好的选择，并且在整个工作完成之前，用户无法了解整个事情的全貌。

设计/方法/方法

尽管限制是昂贵、复杂、不灵活和集成的 BI 基础设施，但它有助于结合银行和电子商务 (EC) 应用程序数据。此外，本文探讨了云计算基础设施作为数据处理问题的潜在补救措施。

发现

具有人工智能的现代云计算，缩短BI交付周期的环境气候，相对于EC应用程序的传统BI增加BI程序的费用，为客户提供更快推出的能力和更好的灵活性来整合研究并提高性能，准确性和效率。

原创性/价值

在当今的技术世界中，BI 分析数据管理的新时代已经建立，但对 BI 的采用有一定的限制。