The incorporation of artificial intelligence (AI) in financial analytics and visualization has become a strategic necessity of contemporary finance in the age of inspired technology change. The topic covered in this research paper is the changing landscape of the use of AI to power financial applications and the nature and benefits of such applications in transforming the traditional financial management systems into systems of data-driven decision making. Through the utilization of machine learning, natural language processing, and predictive analytics ARTS insight and forecasting are no longer just the preserve of data scientists and machine learning specialists, rather with the new tools companies can now provide real-time insights and add to their forecasting models with a much higher degree of accuracy and capital allocation strategies can be optimized. The research study uses a large data set which contains a wide range of the indicators of global economies such as GDP, inflation, interest rates, and the gross national income which will be analyzed using AI enabled visualization tools like Tableau and Python. The discussed analysis shows that AI models are capable of unearthing hidden trends, sources of anomalies, and modeling hypothetical circumstances that enhance financial robustness. Some of the most interesting findings are of how AI is being deployed in terms of strategic finance teams, which focus on reducing the amount of financial data that is being input into a highly visual relative form of data to improve budgeting and planning decisions involving investment and risk assessment. The suggested use of AI algorithms can help companies to be proactive in case of macroeconomic changes and political instabilities by creating automated insights in time. The paper has come to the conclusion that the analytical technology AI is not only redefining the support to frontline finance functions, but is also redefining strategic planning at the organizational level. As they keep developing, these technologies have the potential to transform the finance role into an agile, intelligent, predictive and adaptive system. The paper adds to the body of knowledge about financial digitalization because it highlights the role of AI in enhancing efficiency, transparency, and long-term competitiveness in long-term competitiveness in strategic finance.
Sarna et al. (Sat,) studied this question.