Artificial Intelligence, Machine Learning and IoT for Smart Business Management

Garima Jain, Ankush Jain (NSUT, India), Veena Grover (Noida Institute of Engineering & Technology, India) , Balamurugan Balusamy (Shiv Nadar Uni.)

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English

Chapman & Hall/CRC
30 September 2025

Business & management; Computing: general; Internet guides & online services; Databases; Artificial intelligence

Series: Artificial Intelligence, Machine Learning, Data Analytics and Automation for 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.

Edited by: Garima Jain, Ankush Jain (NSUT, India), Veena Grover (Noida Institute of Engineering & Technology, India), Balamurugan Balusamy (Shiv Nadar Uni.), Praveen Tomar
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
ISBN: 9781032912004
ISBN 10: 1032912006
Series: Artificial Intelligence, Machine Learning, Data Analytics and Automation for Business Management
Pages: 236
Publication Date: 30 September 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Forthcoming

Evolution of AI, ML, and IoT in Business Management 2. Strategic Implementation of AI for Business Advancement 3. ML Techniques for Business Intelligence & Decision Making 4. Operational Excellence through AI, ML, and IoT 5. Technical Analysis for Traders: Stock Price Prediction 6. Future Trends and Ethical Considerations in AI, ML, and IoT 7. Voice-Assisted Chatbots in Enhancing CRM in Modern Marketing for Small Businesses 8. IoT Applications in Business Operations 9. Robotic Process Automation: Streamlining Business Processes for Operational Excellence 10. Intelligent Forecasting Models Based on Neuro-Fuzzy Systems 11. Customer Churn Prediction Using Machine Learning 12. Intelligent Techniques: Fuzzy Logic and Computational Techniques

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 currently working as Professor in Department of Management at Noida Institute of Engineering & Technology, Greater Noida, UP, India. Prior to this, she has been working as Professor in School of Business, Galgotias University, she has more than 21 years of teaching experience in educational institutions of repute like Lingaya’s University, New Delhi Institute of Management, University of Delhi, DAV Institute of Management etc. 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.