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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

AI, ML for Predictive Analytics in BI
Big Data in AI-Powered BI
Business Intelligence
Case Studies, Best Practices in AI-Powered BI
Concepts, Frameworks, and Apps of AI-Powered BI
Consumer Sentiment Analysis on Social Media
ESG Metrics Integration into BI
Ethics in AI-Powered BI: Privacy, Fairness, Transparency
Fraud Detection, Risk Management with AI
Impact of Social Media Ads on Online Shopping
NLP for Text Analytics in BI
Optimizing Supply Chains with AI
Personalization, CRM in AI-Powered BI
Real-time Analytics with AI in BI
Social Media Analysis for Consumer Behavior

Table of Contents

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Editor/Author Biographies

Mohammad Gouse Galety has worked in CS. His current position is CS professor at Samarkand International University of Technology in Uzbekistan. He has two Ph. D.s in web mining and CS image processing and two master's degrees in computing. First, I have a master's in computer applications and then computer science. In computer and information science, he studies web mining, IoT, and AI. Four patents, five books, and 50 Springer and Scopus-indexed journal publications and international conference proceedings are his (co)authorship. IEEE and ACM Fellow. He has worked in various organizations, including Sree Vidyanikethan Degree College, Emeralds Degree College, Brindavan College of Engineering, Kuwait Educational Centre, Ambo University, Debre Berhan University, Lebanese French University, Iraq, and Catholic University in Erbil, Iraq, since 1999. UG and PG students take computer science and engineering courses.

Celestine Iwendi is an associate Professor (Senior Lecturer) with the School of Creative Technologies, University of Bolton, United Kingdom. He is an IEEE Brand Ambassador. He has a PhD in Electronics Engineering, ACM Distinguished Speaker, a Senior Member of IEEE, a Seasoned Lecturer and a Chartered Engineer. A highly motivated researcher and teacher with emphasis on communication, hands-on experience, willing-to-learn and a 21 years technical expertise. Celestine has developed operational, maintenance, and testing procedures for electronic products, components, equipment, and systems; provided technical support and instruction to staff and customers regarding equipment standards, assisting with specific, difficult in-service engineering; Inspected electronic and communication equipment, instruments, products, and systems to ensure conformance to specifications, safety standards, and regulations. He is a wireless sensor network Chief Evangelist, AI, ML and IoT expert and designer. Celestine is an Associate Professor (Senior Lecturer) at the School of Creative Technologies at the University of Bolton, United Kingdom. He is also a Board Member of IEEE Sweden Section, a Fellow of The Higher Education Academy, United Kingdom and a fellow of Institute of Management Consultants to add to his teaching, managerial and professional experiences. Visiting Professor to three Universities and an IEEE Philanthropist.

Deepthi Das , an Associate Professor and Associate Dean at the School of Sciences, CHRIST (Deemed to be University) in Bangalore, India, is a dedicated educator with over two decades of teaching experience. With a profound commitment to fostering academic excellence and ethical values among students, Dr. Deepthi creates inclusive learning environments that promote critical thinking and social responsibility. Holding a Ph.D. in Computer Science and Engineering from CMR University, Bangalore, she actively integrates innovative teaching methods to deliver dynamic educational experiences. Dr. Deepthi's research interests primarily focus on Artificial Intelligence and Machine Learning, with notable contributions to customer churn prediction in the motor insurance sector. Alongside her academic responsibilities, she has served in various leadership roles, including Head of the Department of Statistics and Data Science and Programme Coordinator for Undergraduate Programmes. Dr. Deepthi's dedication to education, research, and leadership acumen make her a valuable asset to the academic community.

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