Optimal Analysis for Enterprise Financial Management Based on Artificial Intelligence and Parallel Computing Method

To function in today’s society, people need access to information technology for every aspect of their lives, from personal interactions to the creation of goods and services. As the Internet and the In tandem with the expansion of the country’s information industry, an increasing number of businesses are opting to use an Automation of Financial Data Management with AI. Artificial intelligence (AI) is a new technological science that aims to mimic, extend, and increase human intellect via the study and development of ideas, methodologies, technologies, and application systems. Artificial intelligence (AI), which may be seen as a method of teaching computers to replicate and simulate human thinking patterns and behaviours, has been the primary focus of data processing in recent years. To better grasp the complexity of many challenges in the financial services industry, AI has become a significant solution for creating accuracy and accountability. This paper begins with a discussion of basic technology’s blueprint and shape, optimises it, investigates the real-world requirements of SMEs in terms of financial management, concludes with system architecture and development architecture, and finally concludes with performing hypothetical tests testing the system’s functional performance. The test results show that the system accomplishes its intended purposes and performs its primary operations, but that it still needs some tweaks and additions. Because of this, it is very important that all the information used in managing money is exact, correct, and reliable.