The Impact of AI and Machine Learning on Business Analytics in U.S. Industries: Predictive Accuracy, Efficiency, and Ethical Considerations

  ABSTRACT: This study examines the growing impact of artificial intelligence (AI) and machine learning (ML) on business analytics within US industries, including the ability to transform data analysis processes and optimize decision-making.. In recent years, the integration of AI and ML in business analytics has become more widespread. This is because these technologies enable businesses to enable AI and ML models to process big data, draw meaningful insights and make more informed strategic decisions. With the ability to analyze past data, identify patterns, and predict future trends, industries can revolutionize the way data is analyzed. This results in forecast accuracy and operational efficiency and there are important improvements. This predictive accuracy helps organizations improved predictability, improve operational efficiency and minimizes risk. Despite their undeniable benefits, the adoption of AI and ML in business analytics also brings with it a number of ethical challenges that must be carefully considered. This research provides actionable insights for organizations looking to implement AI-powered business analytics by examining current trends, challenges, and best practices, and emphasizes the importance of addressing ethical considerations to protect privacy,fairness, and accountability.