Artificial Intelligence, Machine Learning and IoT for Smart Business Management

This book investigates the transformative impact of AI, ML, data analytics, and IoT on modern business, emphasizing their roles in strategic growth, operational efficiency, and data-driven decision-making. Through real-world case studies, strategic frameworks, and ethical considerations, it offers actionable insights for integrating these technologies. Covering emerging trends and responsible adoption, this book is an essential resource for professionals navigating digital transformation and achieving sustainable success.

• Explore the application of AI, ML, data analytics, and IoT within business contexts, emphasizing their roles in strategic growth, operational efficiency, and decision-making.
• Provides methodologies for maximizing ROI, mitigating risks, and fostering innovation.
• Explores predictive modeling, market segmentation, and business intelligence for competitive advantage.
• Examines cutting-edge automation technologies that optimize processes and enhance workforce efficiency.
• Investigates neuro-fuzzy systems in financial forecasting to improve predictive accuracy and decision-making.

This book serves as a practical guide for professionals and as a reference for scholars, researchers, and students of computer science and business management.

Garima Jain is an Assistant Professor and Deputy Head in the Department of Computer Science and Buisness System at Noida Institute of Engineering and Technology, Greater Noida, India. She completed her M.Tech. from Galgotias University, Greater Noida, in 2017. She is pursuing her Ph.D. from Dayalbagh University on Resource Provisioning in Cloud and Edge Computing environment.

Ankush Jain is an Assistant Professor in Department of Computer Science and Engineering, Netaji Subhas University of Technology (Formerly known as NSIT), Main Campus, Dwarka, New Delhi. He completed his Ph.D. and M.Tech. from ABV-Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior. He received his B. Tech. degree in Computer Science and Engineering from Rajasthan Technical University, Kota.

Veena Grover is a Gold Medalist, UGC (NET) qualified and University Topper in Economics with over 23 years of experience in teaching, research, and academic leadership. Currently she serves as Professor and Dean (IQAC) in Lloyd Business School. She is a seasoned academic professional, extensively involved in NAAC and NBA accreditation processes, ensuring institutional quality and standards. Her research expertise in Micro Finance, Healthcare, International Trade, Sustainability, Macro Economic Variables, and Innovation Strategy. She has published 40+ research papers,30+ book chapters, 15 patents, 6 books, presented papers at numerous conferences, and supervised Ph.D. thesis projects. She is also a reviewer of many reputed journals. She has also completed Innovation Ambassador certification (Basic+ Advanced) under the Institution’s Innovation Council, an initiative of the Ministry of Education’s Innovation Cell. She is known for driving educational excellence, inspiring faculty, and promoting student success. She has been committed to advancing research, implementing sustainable strategies, and fostering global academic collaboration.

Balamurugan Balusamy is presently working as an Associate Dean (Student engagement), Shiv Nadar University. Delhi-National Capital Region (NCR) He has also served up to the position of Associate Professor in his stint of 14 years of experience with VIT University, Vellore. His research focuses on Blockchain and IoT.

Praveen Tomar is a passionate civil servant, researcher and technology enthusiast. He has over 23 years of experience in IT transformation, Data, AI and automation, with a Six Sigma Black Belt certification and multiple publications on low-code digital automation. As the Head of Process Digitisation (Data and AI) at Ofgem, he leads a team of talented professionals who are passionate about enhancing public service delivery and outcomes by harnessing the power of data and automation, while respecting human dignity and values.