Artificial Intelligence, Machine Learning and IoT for Smart Business Management

by Garima Jain (Editor), Ankush Jain (Editor), Veena Grover (Editor), Balamurugan Balusamy (Editor), Praveen Tomar (Editor)

Overview

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.

Product Details

ISBN-13:	9781040419083
Publisher:	CRC Press
Publication date:	09/30/2025
Series:	Artificial Intelligence, Machine Learning, Data Analytics and Automation for Business Management
Sold by:	Barnes & Noble
Format:	eBook
Pages:	250
File size:	7 MB

About the Author

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.

Table of Contents

1. Evolution of AI, ML, and IoT in Business Management
   Poornima Tyagi, Shiv Narain Gupta, Divya Sahu, Mohd Firoz Waris, and Parvendra Kumar
2. Strategic Implementation of AI for Business Advancement
   Priti Rai and Palanivel Rathinasabapathi Velmurugan
3. ML Techniques for Business Intelligence and Decision-Making
   Vijay Anand Rajasekaran, Magesh Gopu, Madala Guru Brahmam, and Veena Grover
4. Operational Excellence through AI, ML, and IoT
   A. Anitha, K. Anitha, Kashish Bhasin, Aditya Singh, and Balakrishnan Kamaraj
5. Technical Analysis for Traders: Stock Price Prediction
   Purnima Pal, Harshit Thakur, Meghali Das, Nisha, and Manju Nandal
6. Future Trends and Ethical Considerations in AI, ML, and IoT
   Sarabjeet Kaur, Swarnima, Purnima Pal, and Nidhi Sharma
7. Voice Assisted Chat Bots in Enhancing CRM in Modern Marketing for Small Businesses
   Aditi Srivastava, Ajay Singh, and Brij Mohan Singh
8. IoT Applications in Business Operations
   Taher Alkhalaf, Omar Durrah, and Monir Alkhalaf
9. Robotic Process Automation: Streamlining Business Processes for Operational Excellence
   Magesh Sankar, Vijayalakshmi Sivaramakrishnan, Palamadai Subramanian Rajakumar, S. Geetha, and R. Manikandan
10. Intelligent Forecasting Models Based on Neural Systems for Smart Business Management
    Hina Riaz and Mohan Prasad Sharma
11. Customer Churn Prediction Using Machine Learning
    Meghali Das, Purnima Pal, and Garima Srivastava
12. Intelligent Techniques: Fuzzy Logic and Computational Techniques
    Swarnima and Bhawna Khullar