Intersection of AI and business intelligence in data-driven decision-making
description: In today's rapidly evolving business landscape, organizations are inundated with vast amounts of data, making it increasingly challenging to extract meaningful insights and make informed decisions. The traditional business intelligence (BI) approach must often address the complexity and speed required for effective decision-making in this data-rich environment. As a result, many businesses need help to leverage their data to drive sustainable growth and remain competitive. Intersection of AI and Business Intelligence in Data-Driven Decision-Making presents a transformative solution to this pressing challenge. By exploring the convergence of artificial intelligence (AI) and BI, our book provides a comprehensive framework for leveraging AI-powered BI to revolutionize data analysis, predictive modeling, and decision-making processes. Readers will gain valuable insights into practical applications, emerging trends, and ethical considerations, inspiring and exciting them about the potential of AI in driving business success. Through in-depth discussions, case studies, and best practices, this book equips professionals, researchers, and students with the knowledge and tools needed to navigate the complexities of AI-powered business intelligence. Whether you're looking to predict trends, analyze consumer behavior, or optimize supply chains, this book offers actionable strategies and techniques for implementing AI-powered BI solutions in your organization. 2024 by IGI Global. All rights reserved.
creator: Natarajan A.K.; Galety M.G.; Iwendi C.; Das D.; Shankar A.
source: Intersection of AI and Business Intelligence in Data-Driven Decision-Making, pp. 1-486.
publisher: IGI Global
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 979-836935289-2; 979-836935288-5
format: Online
language: English
type: Book
coverage: Natarajan A.K., Samarkand International University of Technology, Uzbekistan; Galety M.G., Samarkand International University of Technology, Uzbekistan; Iwendi C., University of Bolton, United Kingdom; Das D., Christ University, India; Shankar A., University of Warwick, United Kingdom