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4 produkter
4 produkter
Inbunden, Engelska, 2025
1 883 kr
Skickas inom 10-15 vardagar
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.
E-bok
PDF, Engelska, 2025909 kr
Läs direkt efter köp
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.
909 kr
Läs direkt efter köp
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.
Inbunden, Engelska, 2026
1 725 kr
Kommande
The book offers a unique fusion of cutting-edge machine-learning applications and security considerations in the context of agricultural sustainability.Examine the most recent developments in machine learning techniques designed especially to improve security and sustainable agriculture.Discusses machine learning techniques for crop health surveillance and disease early warning systems.Covers decision support systems for sustainable farming, and data-driven decision-making in agriculture.Presents cybersecurity measures for agricultural systems, implementation of security protocols for data protection, and addressing cybersecurity challenges in agriculture.Showcases how smart technologies are influencing agricultural practices, promoting sustainable agriculture, stimulating economic growth, and safeguarding essential agricultural resources.The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, agricultural science, and information technology.