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The evolution of modern technology has affected all the industry dimensions. Mother industries play a critical role in providing the precursor materials for other industries, and a small improvement in these can make a big change in other ones. This volume covers the analytics revolution in Industry 4.0 for the mother industries like mining, oil and gas, steel and so forth. It focusses on use of advanced analytics and artificial intelligence to improve the business decisions aimed to increase the quality and quantity of mother industries' products. It helps to design and implement their digital transformation strategies in these industries.
Provides a concise overview of state of the art for mother industries executives and managers Highlights and describes critical opportunity areas for industries operations optimization Explains how to implement advanced data analytics through case studies and examples Provides approaches and methods to improve data-driven decision making Brings experience and learning in digital transformation from adjacent sectors
This volume is aimed at researchers, professionals, and graduate students in data science, manufacturing, automation, and computer engineering
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The evolution of modern technology has affected all the industry dimensions. Mother industries play a critical role in providing the precursor materials for other industries, and a small improvement in these can make a big change in other ones. This volume covers the analytics revolution in Industry 4.0 for the mother industries like mining, oil and gas, steel and so forth. It focusses on use of advanced analytics and artificial intelligence to improve the business decisions aimed to increase the quality and quantity of mother industries' products. It helps to design and implement their digital transformation strategies in these industries.
Provides a concise overview of state of the art for mother industries executives and managers Highlights and describes critical opportunity areas for industries operations optimization Explains how to implement advanced data analytics through case studies and examples Provides approaches and methods to improve data-driven decision making Brings experience and learning in digital transformation from adjacent sectors
This volume is aimed at researchers, professionals, and graduate students in data science, manufacturing, automation, and computer engineering