MODELING OF ARTIFICIAL INTELLIGENCE FOR REVENUE FORECASTING
In this study, it was analyzed the ability to forecast the revenues of major corporations such as Apple, Amazon, GE, IBM, and ExxonMobil using Random Forest and XGBoost machine learning algorithms, as well as Tableau as a benchmark analytics tool. The main objective was to assess the accuracy of these methods and their capability to predict financial indicators based on historical data. Google Colab was used as the computational environment, which enabled seamless integration of algorithms, handling of large datasets, and rapid model testing.