Advanced Analytics for Industry 4.0
CRC Press (Verlag)
978-1-032-03347-1 (ISBN)
- Noch nicht erschienen (ca. März 2026)
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Advanced analytics has gained massive momentum in the industrial sector Technology enterprises consolidate using the online data sources to deliver analytics and intelligence that inform everything from operations process automation to customer experiences. This volume clarifies the benefits of using advanced analytics in technology industries like computer, telecommunication, aerospace, electronics, robotics, e-commerce and so forth. It covers how lower costs and democratized data increase access and management speed, dynamic forecasting and complete visibility into supply chains, and improvement of security measures that ensure ongoing privacy compliance-like remote work.
Provides a concise overview of state of the art for advanced 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 aims at researchers, professionals, graduate students in data science, manufacturing, automation and computer engineering.
Ali Soofastaei is a Global Projects Leader at Vale Artificial Intelligence Centre. Vale is a multinational corporation engaged in metals and mining. It is one of the world’s foremost producers of iron ore and the largest producer of nickel. Soofastaei leads innovative industrial projects in artificial intelligence (AI) applications to improve safety, productivity, and energy efficiency and reduce maintenance costs. Soofastaei completed his Ph.D. at The University of Queensland (UQ) in the field of AI applications in mining engineering, where he led a revolution in the use of deep learning (DL) and AI methods to increase energy efficiency, reduce operation and maintenance costs, and reduce greenhouse gas emissions in surface mines.
1. Introduction 2. Aerospace Industry 3. Car Manufacturing 4. Marketing 5. Steel Manufacturing 6. Biomechanics Industry 7. Utilities 8. Energy Industry 9. Infrastructure Industry 10. Shipping Industry
| Erscheint lt. Verlag | 31.3.2026 |
|---|---|
| Zusatzinfo | 47 Tables, black and white; 141 Line drawings, black and white; 17 Halftones, black and white; 158 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Technik ► Bauwesen | |
| Technik ► Elektrotechnik / Energietechnik | |
| ISBN-10 | 1-032-03347-9 / 1032033479 |
| ISBN-13 | 978-1-032-03347-1 / 9781032033471 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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