Business Management

AAP Advances in Artificial Intelligence and Robotics

Artificial Intelligence and Machine Learning for Business
Editors: Namita Mishra, PhD
A. V. Senthil Kumar, PhD, DSC

Artificial Intelligence and Machine Learning for Business

In production
Pub Date: Forthcoming July 2024
Hardback Price: $200 US | 150 UK
Hard ISBN: 9781774917237
Pages: Est. 288pp w/index
Binding Type: Hardback / ebook
Series: AAP Advances in Artificial Intelligence and Robotics
Notes: 6 color and 80 b/w illustrations

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. However, there is a general perception that artificial intelligence and machine learning are only used in the IT sector by large companies with extensive research teams. This new book, Artificial Intelligence and Machine Learning for Business, demonstrates how artificial intelligence and machine learning can be used in every aspect of business and as a foundation for complex decision-making.

This book offers an overview of artificial intelligence (AI) techniques that are used in business. Covering such topics as 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. The book proves 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. It provides an overview of the most popular and frequently used methods, procedures, and models to control business activity. This book explains in a simplified manner AI standards and concepts for management students and executives. Overall, the book emphasizes the potential business prospects of AI, machine learning, and the derived benefits of using these innovative technologies.

Key features:

  • Describes the various capacities where AI is emerging as a game-changer for industries and businesses
  • Addresses key issues, trends, and future perspectives of using AI and ML in business
  • Provides insights into how AI is revolutionizing decision-making, management, early alerts, visual inspection, etc.
  • Leverages AI for managerial tasks as one of the most promising areas of development and data analysis
This volume will be of benefit to researchers, academicians, business and industry professionals, and well as faculty and students in the fields of business management, business analytics, social sciences, and data informatics.

CONTENTS:
Preface

1. Generic Framework for AI-Based E-Learning for Employee Training and Quality Learning Experience

P. Bhanumathi, Jeevitha R., and Sathish Babu B.

2. AI-Based Stock Market Prediction During Periods of War
Reeja S. R.

3. Traffic Road Sign Detection and Recognition Approach Using OCR-Based on EfficientDet and ROI Extraction
Sumathy S.

4. Recent Trends and Future Prospects of AI and Machine Learning in Decision Making
A. Muthusamy, S. Maheswari, and S. Anitha

5. Socioeconomic Impact Analysis of the Russo-Ukrainian War Based on Tweets Using Opinion Mining
Desai Karanam Sreekantha, S. K. Rajani, and R. K. Kamat

6. Robotic Process Automation in Business Management Using Machine Learning Algorithms
P. Gayathiri

7. Contemporary Inclinations and Forthcoming Solicitations of AI and ML in Business Transformation
Priyanka Sharma and Ajay Bhardwaj

8. Climate Smart Agriculture Analysis of Soil Properties and Weather Parameter Using Artificial Intelligence and Machine Learning
Ramdas Gore, Minakshi Sonawane, and Bharti Gawali

9. A Novel Approach to Monitor Garbage System by Using LoRa Technology
P. Saleem Akram and M. Lakshmana Kumar

10. Applications of AI-Based Decision Support System in Business Management
K. Sampath Kini, Bh Karthik Pai, and R. P. Puneeth

11. Current Trends and Future of AI in Sales and Marketing
Sunanda Vincent Jaiwant and Sai Kruthi G. S.

12. Predicting Precious Metal Markets Using Custom Deep-Learning NARX Network: A Portfolio Application
Stephanie Stephanie, Dhanuskodi Rengasamy, Jobrun Nandong, Andrew J. Brennan, and Filbert H. Juwono

13. Leveraging Banking Customer Experience Through Artificial Intelligence: An Application of Structural Equation Modeling
Ankita Chaturvedi, Shaifali Mathur, and Ashish Porwal

14. Recommender Systems Using AI and ML: Future of Sales and Marketing
Ksh. Krishna B. Singha, and Mukta Sharma

15. Trends and Future of AI in Sales and Marketing
Meenakshi Sharma, Hinika Shail, A. V. Senthil Kumar, and Pramod Painuly

16. Predicting People’s Personalities from Their CVs, Using Machine Learning and Deep Learning
Umrah Dar and Mahuya Deb

Index


About the Authors / Editors:
Editors: Namita Mishra, PhD
Professor, ITS School of Management, Mohan Nagar, India

Namita Mishra, PhD, Professor at the I.T.S. School of Management  is a distinguished professional having 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 more than 35 research papers in national and international conference proceedings of repute and has 17 patents to her credits. Her exceptional contributions have earned her accolades such as the Dr. S. Radhakrishnan Memorial Award-2009 from Healthy Universe foundation for her excellent contribution in education. She is associated as life members of various academic bodies.

A. V. Senthil Kumar, PhD, DSC
Director and Professor, Department of Research and PG in Computer Applications, Hindusthan College of Arts and Science, Coimbatore, India

A. V. Senthil Kumar, PhD, DSc, is working as a Director and Professor in the Department of Research and PG in Computer Applications, Hindustan College of Arts and Science, Coimbatore, India. He has to his credit 11 book chapters, over 260 papers in international and national journals, 25 papers in international conferences, five papers in national conferences, and nine edited books (IGI Global, USA). He is Editor-in-Chief of the International Journal of Data Mining and Emerging Technologies and has been affiliated with the International Journal of Image Processing and Applications, International Journal of Advances in Knowledge Engineering & Computer Science, International Journal of Advances in Computers and Information Engineering, and International Journal of Research and Reviews in Computer Science. He is also a key member of the Machine Intelligence Research Lab (MIR Labs), India. He is an editorial board member and reviewer for various international journals.




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