Artificial Intelligence and Machine Learning for Business

by Namita Mishra (Editor), A. V. Senthil Kumar (Editor)

Overview

Artificial intelligence and machine learning are integral parts of every business today, in areas ranging from finance, strategic decision-making, HR operations, and sales and marketing to manufacturing and more. This new book demonstrates how artificial intelligence and machine learning can be used in every aspect of business and as a foundation for complex decision-making. The volume covers such topics as the use of AI in employee training, in stock market prediction, in traffic detection, in opinion mining, in fraud detection, for retail purchase predictions, in online customer support interactions, and more, proving the diverse ways AI can be used in many facets of a business. The use of AI is also explored in fields such as garbage systems, agriculture, precious metals, banking, HR hiring, and so on.

Product Details

ISBN-13:	9781774917237
Publisher:	Apple Academic Press
Publication date:	04/14/2025
Series:	AAP Advances in Artificial Intelligence and Robotics
Pages:	320
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Namita Mishra, PhD, Professor at the I.T.S. School of Management, is a distinguished professional with an in-depth association with education and research projects. Her teaching experience is in finance and accounting, with over 18 years of expertise. Academically she has MCOM, MBA, and PhD degrees from reputed universities. She is a certified financial analyst from IIM Kashipur, India. She has authored three books and two edited volumes with national and international publishers. Professor Mishra has published over 35 research papers in national and international conference proceedings and has 17 patents to her credit. She received the Dr. S. Radhakrishnan Memorial Award (2009) from the Healthy Universe Foundation for her contributions in education. She is a life member of various academic bodies.
A. V. Senthil Kumar, DSc, is working as a Professor and Director of the PG and Research Department of Computer Applications at Hindusthan College of Arts and Science in Coimbatore, Tamil Nadu, India. To date, he has five years of industrial experience and 27 years of teaching experience. He has published 46 book chapters, 223 papers in international and national journals, and 64 papers in international and national conferences, and he has edited 12 books and two textbooks. He is an Associate Editor of the journal IEEE Access. He is also an editor-in-chief for many journals and a key member for India for the Machine Intelligence Research Lab (MIR Labs). He is an editorial board member and reviewer for various international journals. He is also a committee member for various international conferences. He has guided 16 PhD scholars and is currently guiding four PhD scholars. He received his Doctor of Science (DSc) in Computer Science.

Table of Contents

1. Generic Framework for AI-Based E-Learning for Employee Training and Quality Learning Experience 2. AI-Based Stock Market Prediction During War Period 3. Traffic Road Sign Detection and Recognition Approach Using OCR-Based on Efficient Det and ROI Extraction 4. Recent Trends and Future Prospects of AI and Machine Learning in Decision Making 5. Socio-economic Impact Analysis of the Russo-Ukrainian War Based on Tweets Using Opinion Mining 6. Robotic Process Automation in Business Management Using Machine Learning Algorithms 7. Contemporary Inclinations and Forthcoming Solicitations of AI and ML in Business Transformation 8. Climate Smart Agriculture Analysis of Soil Properties and Weather Parameter Using Artificial Intelligence and Machine Learning 9. A Novel Approach to Monitor Garbage System by Using LoRa Technology 10. Applications of AI-Based Decision Support System in Business Management 11. Current Trends and Future of AI in Sales and Marketing 12. Predicting Precious Metal Markets Using Custom Deep-Learning NARX Network: A Portfolio Application 13. Leveraging Banking Customer Experience Through Artificial Intelligence: An Application of Structural Equation Modeling 14. Recommender Systems Using AI and ML: Future of Sales and Marketing 15. Trends and Future of AI in Sales and Marketing 16. Predicting People’s Personalities from Their CVs, Using Machine Learning and Deep Learning