Keywords

Artificial Intelligence (AI), AI-Driven Analytics, Executive Decision-Making, Predictive Forecasting, Operational Efficiency, Business Intelligence, Machine Learning, Data Analytics, Strategic Management, Digital Transformation

Abstract

The use of Artificial Intelligence (AI) analytics has become a game-changer for contemporary businesses, impacting business decision-making, predictions, and increased operational efficiency by sector. Organizations have increasingly access to vast amounts of structured and unstructured information in real time thanks to big data, cloud computing, machine learning algorithms, and predictive modeling tools. This research paper delves into the impact of AI-driven analytics on various aspects of business decision-making and operations, especially how executives leverage intelligent systems for enhanced decision quality, predicting future market trends, and optimizing organizational performance. The study looks at how AI analytics is being used in business operations, particularly in the executive functions, and points to decision-making based on facts and evidence rather than intuition.

Cite this Article

Santosh Yohith M, Shobitha, Dr. Sameer Joshi , 2025. "Exploring How AI-Driven Analytics Influences Executive Decisions, Forecasting, and Operational Efficiency", International Journal of Economics, Business, Management Research Intelligence (IJEBMRI) 1(2): 01-14.