Artificial Intelligence, Machine Learning and IoT for Smart Business Management (eBook, PDF)

Redaktion: Jain, Garima; Tomar, Praveen; Balusamy, Balamurugan; Grover, Veena; Jain, Ankush

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 250
• Erscheinungstermin: 30. September 2025
• Englisch
• ISBN-13: 9781040419045
• Artikelnr.: 75249087

Autorenporträt

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.

Inhaltsangabe

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