Artificial Intelligence, Machine Learning and IoT for Smart Business Management

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.

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.

Contributor: Garima Jain (Edited by), Ankush Jain (Edited by), Veena Grover (Edited by), Balamurugan Balusamy (Edited by), Praveen Tomar (Edited by)

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