Artificial Intelligence, Machine Learning and IoT for Smart Business Management.pdf
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内容丰富，290页的大型机器学习与商务智能资料包。
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In today’s dynamic business environment, artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) have emerged as transformative forces driving innovation and efficiency across industries. Businesses are increasingly leveraging these technologies to enhance decision-making, optimize operations, and create intelligent solutions for customer engagement. However, with rapid advancements come challenges such as ethical considerations, security risks, and the need for responsible implementation. This resource, Artificial Intelligence, Machine Learning and IoT for Smart Business Management, aims to provide a comprehensive understanding of how these technologies are revolutionizing various aspects of business operations, from strategic planning and customer relationship management (CRM) to stock market predictions and process automation. Each chapter presents in-depth research, case studies, and practical applications, ensuring relevance for academicians, researchers, and industry professionals alike. A key focus of this resource is to bridge the gap between theoretical concepts and practical implementations, making it an essential resource for students, business leaders, and technology enthusiasts who wish to explore the potential of AI, ML, and IoT in modern business practices. We extend our gratitude to the contributing authors whose expertise and insights have enriched this resource. We also appreciate the efforts of researchers and practitioners who continue to advance in these fields, making intelligent business solutions more accessible and efficient. We hope this resource serves as a valuable guide and inspires further exploration into the endless possibilities of AI, ML, and IoT in business management.

Chapter 1 Evolution of AI, ML, and IoT in Smart Business Management ........... 1
Poornima Tyagi, Shiv Narain Gupta, Divya Sahu,
Mohd Firoz Waris, and Parvendra Kumar
Chapter 2 Strategic Implementation of AI for Business Advancement ...............17
Priti Rai and Palanivel Rathinasabapathi Velmurugan
Chapter 3 ML Techniques for Business Intelligence and Decision-Making ...... 34
Vijay Anand Rajasekaran, Magesh Gopu,
Madala Guru Brahmam, and Veena Grover
Chapter 4 Operational Excellence through AI, ML, and IOT ............................ 65
A. Anitha, K. Anitha, Kashish Bhasin, Aditya Singh,
and Balakrishnan Kamaraj
Chapter 5 Technical Analysis for Traders: Stock Price Prediction ..................... 86
Purnima Pal, Harshit Thakur, Meghali Das, Nisha,
and Manju Nandal
Chapter 6 Future Trends and Ethical Considerations in AI, ML, and IoT ........109
Sarabjeet Kaur, Swarnima, Purnima Pal, and Nidhi Sharma
Chapter 7 Voice Assisted Chat Bots in Enhancing CRM in Modern
Marketing for Small Businesses ........................................................129
Aditi Srivastava, Ajay Singh, and Brij Mohan Singh
Chapter 8 IOT Applications in Business Operations .........................................146
Taher Alkhalaf, Omar Durrah, and Monir Alkhalaf
vi Contents
Chapter 9 Robotic Process Automation: Streamlining Business Processes
for Operational Excellence ................................................................161
Magesh Sankar, Vijayalakshmi Sivaramakrishnan, Palamadai
Subramanian Rajakumar, S. Geetha, and R. Manikandan
Chapter 10 Intelligent Forecasting Models Based on Neural Systems for
Smart Business Management ............................................................186
Hina Riaz and Mohan Prasad Sharma
Chapter 11 Customer Churn Prediction Using Machine Learning .....................197
Meghali Das, Purnima Pal, and Garima Srivastava
Chapter 12 Intelligent Techniques: Fuzzy Logic and Computational
Techniques .........................................................................................216
Swarnima and Bhawna Khullar
Index .......................................................................................................................231