Verkauf durch Sack Fachmedien

Jain / Balusamy / Grover

Artificial Intelligence, Machine Learning and IoT for Smart Business Management

Medium: Buch
ISBN: 978-1-032-91200-4
Verlag: Taylor & Francis Ltd
Erscheinungstermin: 04.09.2025
vorbestellbar, Erscheinungstermin ca. September 2025

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. 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, emphasising their roles in strategic growth, operational efficiency, and decision-making.

- Provides methodologies for maximising ROI, mitigating risks, and fostering innovation.

- Explores predictive modeling, market segmentation, and business intelligence for competitive advantage.

- Examines cutting-edge automation technologies that optimise 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 a reference for scholars, researchers and students of computer science and business management


Produkteigenschaften



Themen


Autoren/Hrsg.

Herausgeber

- 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