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Full Description
Digital solutions are needed to develop advanced analytics applications in different industries. The main objectives of this two volume set are presenting the scientific concepts and providing industrial case studies for different applications of advanced analytics, which can be grouped into three main areas namely descriptive, predictive and prescriptive analytics. Main prerogatives include improving understanding of the business value and applicability of different analytic approaches, and business framework to assess the value, cost, and risk of potential analytic solutions. It covers pertinent aspects of data analytics for mother and technology industries.
Provides a concise overview of state of the art for mother and technology 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 two volume set aims at researchers, professionals, graduate students in data science, manufacturing, automation and computer engineering
Contents
Volume 1:
Chapter 1: Navigating the Fourth Industrial Revolution: The Advent of Advanced Analytics in Traditional Industries Chapter 2: Transforming Mining Operations: Harnessing Advanced Analytics for Optimal Decision-Making Chapter 3: Designing Intelligence: Harnessing Soft Sensors and Advanced Analytics in Petroleum Refining for Industry 4.0 Chapter 4: Harnessing the Convergence of Information Technology and Operational Technology for Digital Transformation: An Integrated Framework for Effective Project Management, Skill Development, Team Coordination, and Collaboration in Manufacturing Industry Chapter 5: Harnessing Industrial Internet of Things: Enabling Artificial Intelligence and Machine Learning for Optimized Industrial and Manufacturing Processes Chapter 6: Digitizing the Palate: Exploring Opportunities for Digital Transformation in the Food Industry Chapter 7: Constructing Tomorrow: Exploring the Future of Construction in the Era of Industry 4.0 Chapter 8: Leveraging Advanced Analytics for Transforming Logistics: The Road to Logistics 4.0 Chapter 9: Revolutionizing Chemical Engineering 4.0: Artificial Intelligence Innovations and Machine Learning Chapter 10: Harvesting Tomorrow: The Future of Agriculture in Industry 4.0 Chapter 11: Artificial Intelligence in Insurance: Transforming Risk Management and Customer Experience
Volume 2:
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
