Overview

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.

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Arul Kumar Natarajan currently serves as an Assistant Professor in the Department of Computer Science at the Samarkand International University of Technology in Uzbekistan. He earned his Doctor of Philosophy degree from Bharathidasan University, India, in 2017. Concurrently, he is engaged in postdoctoral research in Generative AI for Cybersecurity at the Singapore Institute of Technology, Singapore. Throughout his 14-year teaching career, Dr. Arul has held esteemed positions at various institutions, including Christ University, Bishop Heber College in India, and Debre Berhan University in Ethiopia. Dr. Arul has made significant contributions to academia, specializing in cybersecurity and artificial intelligence, evidenced by his portfolio of scholarly works. He has authored 32 international publications indexed in Scopus and 03 international publications and has delivered 34 conference presentations. Additionally, he has edited and published three books with IGI Global Publisher, USA, focusing on Python data structures, algorithms, and geospatial application development. In addition to his academic pursuits, Dr. Arul is a prolific innovator, holding 17 patents in India and 01 granted patent in the United Kingdom across diverse domains, including communication and computer science. He demonstrates proficiency in networking and cybersecurity, having completed the CCNA Routing and Switching Exam from CISCO and the Networking Fundamentals exam from Microsoft. He maintains a sincere interest in GenAI for Cybersecurity. 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 IEEE Brand Ambassador. He has a PhD in Electronics Engineering, is a Past ACM Distinguished Speaker, a Senior Member of IEEE, a Seasoned Lecturer, and a Chartered Engineer. A highly motivated researcher and teacher with an emphasis on communication, hands-on experience, willingness to learn, and 23 years of technical expertise. He 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 a Reader (Professor) at the University of Bolton, United Kingdom. He is also the IEEE University of Bolton, Student Branch Counselor and former Board Member of the IEEE Sweden Section, a Fellow of The Higher Education Academy, United Kingdom, and a fellow of the Institute of Management Consultants to add to his teaching, managerial, and professional experiences. Celestine is an Ambassador in the prestigious Manchester Conference Ambassador Programme, a Visiting Professor to five Universities, and an IEEE Humanitarian Philanthropist. Celestine has received the prestigious recognition of the Royal Academy of Engineering through the Exceptional Talent Scheme, acknowledging his substantial contributions to Artificial Intelligence and its medical applications. Additionally, he takes pride in his three-year inclusion in Elsevier's publication, featuring the World's Top 2% Influential Scientists. Celestine is the Chair of the Election Committee of IEEE Computer Society Worldwide. 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. Achyut Shankar is currently working as a Postdoc Research Fellow at the University of Warwick, United Kingdom, and was recently appointed as a visiting Associate Professor at the University of Johannesburg, South Africa. He obtained his PhD in Computer Science and Engineering, majoring in wireless sensor networks, from VIT University, Vellore, India. He was at Birkbeck University, London, from Jan 2022 to May 2022 for his research work. He has published over 150 research papers in reputed international conferences & journals, of which 100 are in SCIE journals. He is a member of ACM and has received research awards for excellence in research for 2016 and 2017. He had organized many special sessions with Scopus Indexed International Conferences worldwide, proceedings of which were published by Springer, IEEE, Elsevier, etc. He is currently serving as an Associate Editor in SAIEE Africa Research Journal (IEEE), Scientific Reports (Nature Journal, Q1), ETT (Wiley), Human-Centric Computing and Information Sciences & SN applied Sciences (SCOPUS & ESCI, Springer), and in the year 2021 to 2023 handled few special issues as a Guest editor ACM transaction for TALIP, International Journal of Human Computer Interaction (Taylor and Francis), International Journal of System Assurance Engineering and Management (Springer) and Journal of Interconnection networks (World Scientific journals). He reviews IEEE Transactions on Intelligent Transportation Systems, IEEE Sensors Journal, IEEE Internet of Things Journal, ACM Transactions on Asian and Low-Resource Language Information Processing, and other prestigious conferences. His areas of interest include Cyber Security, the Internet of Things, Blockchain, Machine Learning, and Cloud computing.

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