Artificial Intelligence, Machine Learning and IoT for Smart Business Management
Series: Artificial Intelligence, Machine Learning, Data Analytics and Automation for Business Management;
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Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 30 September 2025
- ISBN 9781032912004
- Binding Hardback
- No. of pages250 pages
- Size 234x156 mm
- Language English
- Illustrations 51 Illustrations, black & white; 51 Line drawings, black & white; 22 Tables, black & white 700
Categories
Short description:
This book investigates the transformative impact of AI, ML, Data Analytics, and IoT on modern business, emphasising their roles in strategic growth, operational efficiency, and data-driven decision-making.
MoreLong description:
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.
MoreTable of Contents:
- Evolution of AI, ML, and IoT in Business Management
Poornima Tyagi, Shiv Narain Gupta, Divya Sahu, Mohd Firoz Waris, and Parvendra Kumar - Strategic Implementation of AI for Business Advancement
Priti Rai and Palanivel Rathinasabapathi Velmurugan - ML Techniques for Business Intelligence and Decision-Making
Vijay Anand Rajasekaran, Magesh Gopu, Madala Guru Brahmam, and Veena Grover - Operational Excellence through AI, ML, and IoT
A. Anitha, K. Anitha, Kashish Bhasin, Aditya Singh, and Balakrishnan Kamaraj - Technical Analysis for Traders: Stock Price Prediction
Purnima Pal, Harshit Thakur, Meghali Das, Nisha, and Manju Nandal - Future Trends and Ethical Considerations in AI, ML, and IoT
Sarabjeet Kaur, Swarnima, Purnima Pal, and Nidhi Sharma - Voice Assisted Chat Bots in Enhancing CRM in Modern Marketing for Small Businesses
Aditi Srivastava, Ajay Singh, and Brij Mohan Singh - IoT Applications in Business Operations
Taher Alkhalaf, Omar Durrah, and Monir Alkhalaf - Robotic Process Automation: Streamlining Business Processes for Operational Excellence
Magesh Sankar, Vijayalakshmi Sivaramakrishnan, Palamadai Subramanian Rajakumar, S. Geetha, and R. Manikandan - Intelligent Forecasting Models Based on Neural Systems for Smart Business Management
Hina Riaz and Mohan Prasad Sharma - Customer Churn Prediction Using Machine Learning
Meghali Das, Purnima Pal, and Garima Srivastava - Intelligent Techniques: Fuzzy Logic and Computational Techniques
Swarnima and Bhawna Khullar
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