AISFIP: Artificial Intelligence Smart Financial Information Platform with Concurrency Computation
Yuanming Yang, Cheng Yang · 2022 International Conference on Electronics and Renewable Systems (ICEARS) · 2022
This paper studies the artificial intelligence smart financial information platform with concurrency computation. The Internet of Things connects any core object to the Internet through various sensor technologies and various communication means, thereby realizing remote monitoring, automatic alarming, control, diagnosis and maintenance, and helping people realize management, control and operation. With this core platform, the AI based smart financial information system is constructed in this paper. To enhance efficiency, the concurrency computation is combined. An essential purpose of then implementing the concurrent computing is to fully improve the operating efficiency of the system. This feature is also considered for the systematic construction. The numerical simulation is conducted with the verifications. The proposed model is efficient.