The incorporation of artificial intelligence as input for strategic decision making in financial organizations

In today's competitive landscape, computerized contemporary organizations are relying on intelligent systems to mitigate the risks in decision making that is increasingly complex due to the large amount of data for micro and macroeconomic processing, involving a high degree of risk and uncertainty. In this context, organizations continually invest in data processing technology, with ever-increasing growth rates. The data within this scenario has an organizational asset context and in order to be converted into relevant information that can generate competitive advantage and be effective, it is necessary to establish knowledge and intelligence. Therefore, the objective of this study is to propose analysis to investigate and understand the decision making process with the aid of Artificial Intelligence in organizations' decision making, identifying concept and algorithms that offer assistance in complex decision making, turning long decisions into instant and assertive ones, reducing the momentum and influence of managers on decisions involving a large number of variables and contexts. The research is classified as a quantitative exploratory, a pre-defined questionnaire is applied for an investigation that enables the mapping of decision process analysis with artificial intelligence techniques, and how this technology can be better used for decision making in companies. financial system against the opportunities and threats of the organizational environment.