Название: AI Factory: Theories, Applications and Case StudiesАвтор: Ramin Karim, Diego Galar, Uday Kumar
Издательство: CRC Press
Год: 2023
Страниц: 445
Язык: английский
Формат: pdf (true)
Размер: 23.5 MB
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.
Software engineering refers to the development of software products using scientific principles, methods, and procedures. The outcome of software engineering is a reliable software product. The term “software engineering” can be broken down as follows:
1. Software: The first half of the term, “software”, refers to more than a programme code. A programme is an executable code serving a certain computational purpose. Software is a collection of executable programmes, associated libraries, operational manuals, data structures, and documentation.
2. Engineering: The second half of the term, “engineering”, refers to the use of scientific principles and methods to create the software product. Engineering is the step-by-step evolution of constructs in an organised, well-defined, and disciplined manner.
Software engineering is a discipline whose aim is the production of quality software, software that is delivered on time, within budget, and that satisfies its requirements. IEEE Standard 610. 12- 1990 defines software engineering as the application of a systematic, disciplined, and quantifiable approach to the development, operation, and maintenance of software, that is, the application of engineering to software. In short, the goal of software engineering is to develop quality software within reasonable time
limits, and at an affordable cost.
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.
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