Intersection of AI and Business Intelligence in Data-Driven Decision-Making

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.

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 in Computer Science 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, as evidenced by his portfolio of scholarly works. He has authored 52 peer-reviewed and internationally indexed publications and delivered 35 conference presentations. Additionally, he has edited and published 04 books with IGI Global, USA, which are indexed in Scopus and focus on Artificial Intelligence and Cybersecurity. He also has 04 more books in the processing stage with IGI Global, Wiley, and Springer. In addition to his academic pursuits, Dr. Arul is a prolific innovator. He has 17 patents granted in India and 1 granted in the United Kingdom, spanning diverse fields such as communication and computer science. His latest work involves 1 copyrighted research (Govt. of India) in Artificial Intelligence and Machine Learning, specifically focused on segmenting, classifying, and tracking issue nuclei in images. Dr. Arul also exhibits notable proficiency in networking and cybersecurity, having completed the CCNA Routing and Switching Exam from CISCO and the Networking Fundamentals exam from Microsoft. He continues to demonstrate a strong interest in Generative AI for Cybersecurity.

Mohammad Gouse Galety , a seasoned professional in computer science, is currently a Professor at the computer science department of Samarkand International University of Technology, Samarkand, Uzbekistan. His research interests encompass a wide range of computer and information science, focusing on Web Mining, Computer Vision, IoT, Machine Learning, and Artificial Intelligence. His impactful research has led to the (co) authorship of several journal papers and international conference proceedings indexed by Springer, Web of Science, and Scopus, holding four patents and writing six books. His standing in the academic community is further solidified by his role as a Fellow of the IEEE and ACM.With a career spanning over two decades, Mohammad Gouse Galety has served in many national and international organizations, solidifying his expertise in the field. His teaching experience includes roles at Sree Vidyanikethan Degree College, India; Emeralds Degree College, Tirupati, India; Brindavan College of Engineering, India; Kuwait Educational Center, Kuwait; Ambo University, Ethiopia; Debre Berhan University, Ethiopia; Lebanese French University, Iraq; and Catholic University in Erbil, Iraq. He imparts his knowledge to undergraduate and postgraduate students, teaching various courses in computer science and information technology/science engineering.

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.