خرید و دانلود نسخه کامل کتاب AI Factory: Theories, Applications and Case Studies

This book provides insights into how to  approach and utilise data science tools, technologies, and methodologies  related to artificial intelligence (AI) in industrial contexts. It  explains the essence of distributed computing and AI technologies and  their interconnections. It includes descriptions of various technology  and methodology approaches and their purpose and benefits when  developing AI solutions in industrial contexts. In addition, this book  summarises experiences from AI technology deployment projects from  several industrial sectors.

Features:

• Presents a compendium of methodologies and technologies in industrial AI and digitalisation.
• Illustrates the sensor-to-actuation approach showing the complete cycle, which defines and differentiates AI and digitalisation.
• Covers a broad range of academic and industrial issues within the field of asset management.
• Discusses the impact of Industry 4.0 in other sectors.
• Includes a dedicated chapter on real-time case studies.

This  book is aimed at researchers and professionals in industrial and  software engineering, network security, AI and machine learning (ML),  engineering managers, operational and maintenance specialists, asset  managers, and digital and AI manufacturing specialists.