Title: Artificial Intelligence: Theory, Tools and Real-World Applications
Editors: Prof. Dr. A. Shameem and Dr. J. Rengamani
ISBN: 978-81-69857-67-3
Chapter: 2
DOI: https://doi.org/10.59646/819/13
Author: Ms. S. Merlin Sofia
Abstract
Artificial Intelligence (AI) has transformed the way organizations analyze data and make strategic decisions. Predictive analytics, powered by AI techniques such as machine learning and data mining, enables businesses to forecast future trends, identify potential risks, and uncover growth opportunities with greater accuracy. By processing large volumes of structured and unstructured data, AI-driven predictive models provide actionable insights that support informed decision-making across various business functions, including marketing, finance, operations, and customer relationship management. This approach helps organizations improve efficiency, reduce uncertainty, enhance customer satisfaction, and gain a competitive advantage in dynamic market environments. The integration of AI-powered predictive analytics is becoming a critical factor in achieving sustainable business growth and operational excellence.
Keywords: Artificial Intelligence (AI), Predictive Analytics, Business Decision-Making, Machine Learning, Data Mining, Forecasting, Business Intelligence, Data-Driven Decisions.