Revolutionizing Business Intelligence with AI Insights and Strategies

Artificial Intelligence (AI) in Business Intelligence (BI) is a significant milestone in the way BI is practiced today as it seeks to bring about change in the ways organizations use data to make decisions in their operations. It cast light on the facet of applying advanced machine learning models as well as natural language processing techniques to highly BI operations in this research work. In light of this, this research will spotlight on how NLP and XGBoost, a steep gradient boosting algorithm both work hand in hand in enhancing better prediction and insights from larger data sets. The research uses the NLP tools, such as word embedding and transformer to work with unstructured text data from different sources of businesses. Since NLP eludes useful patterns and trends from textual data, it works synergistically with XGBoost in matters concerning prediction models. XGBoost is used for its ability of high precise in analyze structured data for better prediction results and finding important features that influence business KPIs. Focusing on the qualitative and quantitative analysis of the case and using the NLP and XGBoost, the authors illustrate how the methods increase the accuracy of business forecast, improve the decision-making process, and provide a competitive advantage on the market. Moreover, the study makes efforts to include and elaborate the implementation issue, the data quality and integration issues as well as the possible ways of handling those problems. combining NLP techniques with XGBoost to enhance business intelligence by extracting actionable insights from both structured and unstructured data. It provides optimal decision making by feature engineering, hyperparameters tuning as well as continual learning. This study hence enhances the field of AI BI by revealing new applications and outcomes, which are helpful and informative for the practitioners and academics in the field.