Description
Book Description
Advanced analytics is revolutionizing the industrial sector, empowering technology enterprises to harness online data sources for actionable insights. These insights drive advancements in everything from operational process automation to enhancing customer experiences. This volume explores the transformative benefits of advanced analytics across technology-driven industries such as computing, telecommunications, aerospace, electronics, robotics, and e-commerce. It delves into how reduced costs, democratized data, and faster management capabilities enable dynamic forecasting, complete supply chain visibility, and enhanced security measures to ensure privacy compliance – even in remote work environments. 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. This volume is an essential resource for researchers, professionals, and graduate students in data science, manufacturing, automation, and computer engineering.
Table of Contents
1. Introduction 2. Aerospace Industry 3. Car Manufacturing 4. Marketing 5. Steel Manufacturing 6. Biomechanics Industry: Integrating Digital Intelligence into Human Motion and Performance 7. Utilities: Advanced Analytics for Utilities 8. Energy Industry: Advanced Analytics in the Energy Industry 9. Infrastructure Industry 10. Shipping Industry: Digital Transformation and Advanced Analytics in the Shipping Industry
Editor
Dr. Ali Soofastaei
Biography
Dr. Ali Soofastaei is a global artificial intelligence (AI) projects leader, an international keynote speaker, and a professional author.
He completed his Ph.D. and Postdoctoral Research Fellow at The University of Queensland, Australia, in the field of AI applications in mining engineering, where he led a revolution in the use of deep learning and AI methods to increase energy efficiency, reduce operation and maintenance costs, and reduce greenhouse gas emissions in surface mines. As a scientific supervisor, for many years, he has provided practical guidance to undergraduate and postgraduate students in mechanical and mining engineering and information technology.
Dr. Soofastaei has more than fifteen years of academic experience as an Assistant Professor and leader of global research activities. Results from his research and development projects have been published in international journals and keynote presentations; He has presented his practical achievements at conferences in the United States, Europe, Asia, and Australia. He has been involved in industrial research and development projects in several industries, including oil and gas (Royal Dutch Shell); steel (Danieli); and mining (BHP, Rio Tinto, Anglo American, and Vale). His extensive practical experience in the industry has equipped him to work with complex industrial problems in highly technical and multi-disciplinary teams. Dr. Soofastaei is working actively with some prestigious global publishers same as Mc Graw-Hill Education, Intech Open, Springer, and CRC Press as an author and academic editor.
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