Abstract
This research focuses on the influence of simulated intelligence on people’s financial knowledge, emphasizing the aspects of risk evaluation, outcome evaluation, network security, and global collaboration. It presents the scenarios and the use of man-thinking (artificial intelligence) techniques such as AI information science, and NLP to solve the worldwide financial crises. Firstly, the introductory part of the review sets the background of monetary emergencies. Then, it proceeds with the evaluation of current monetary knowledge techniques and the administrative planning for simulated intelligence in finance. The organization in the process of creating a money policy is characterized by moral implications, human-computer-based intelligence joint effort, and contextual analysis. The study also touches on AI-driven risk assessment, stating that AI makes it easier to identify risks in real time. The study, which focuses on the case study of the UCLA Computer Science Department, through continuous monitoring, cybersecurity measures, and the comprehensive examination of AI's role in reshaping financial management, emphasizes. Lastly, the research shows that AI can be the base of the financial ecosystem which can be more adaptable, efficient, and secure, giving valuable info to the academics, the professionals in the industry, and the policymakers.
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