ABSTRACT
Industrial Artificial Intelligence (AI) is a systematic, collaborative, and integrative discipline focusing on developing, embedding, and deploying various purpose-oriented machine learning algorithms and domain-specific industrial applications to industries. This often includes a focus on adding sustainable business value to capital-intensive process industries. Industrial AI combines the fundamentals of engineering and science with AI capabilities and purpose-built software leading to the self-optimizing plant. Industrial AI enables companies to solve complex problems more easily; increase value creation with higher-quality data, greater accuracy, more speed and improved access to enterprise data; automate and simplify the creation and sustaining of industry models, and reduce the total cost of ownership.
This chapter provides an understanding of AI in general, through coverage of such topics as industrial Artificial Intelligence, information System Engineering, digital Industry Platforms and cybersecurity. Descriptions are also included of the three elements for industrial AI: data science & AI, software at scale, and domain expertise. Coverage is also provided of topics that link sustainability and artificial Intelligence, including AI and process intensification as well as AI and sustainable engineering. Finally, case studies are provided to illustrate and demonstrate AI and its applications.
