Advanced Analytics for Industry 4.0: Technology Industries
Autor Ali Soofastaeien Limba Engleză Hardback – 2 iun 2026
Key features:
- A concise overview of cutting-edge analytics tailored for executives and managers in advanced industries.
- Identification of critical opportunities for optimizing industrial operations.
- Practical guidance on implementing advanced data analytics through real-world case studies and examples.
- Proven approaches and methodologies to enhance data-driven decision-making.
- Insights and lessons from digital transformation efforts in adjacent sectors.
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Specificații
ISBN-13: 9781032033471
ISBN-10: 1032033479
Pagini: 488
Ilustrații: 314
Dimensiuni: 178 x 254 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 1032033479
Pagini: 488
Ilustrații: 314
Dimensiuni: 178 x 254 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
Public țintă
Academic and Professional Practice & DevelopmentCuprins
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
Notă biografică
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.
Descriere
This volume explains the benefits of using advanced analytics in technology industries like computer, telecommunication, aerospace, electronics, and so on. 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.