McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide

• Table of ContentsAuthor's NoteThe Brain: Inspiration for the Neural Network and Deep LearningChapter 1: AI Data Mining Guides an EBITDA TurnaroundChapter 2: The Waste That Only Artificial Intelligence Can EliminateChapter 3: The Productivity Challenge of the Twenty-First CenturyChapter 4: Why Is the Fourth Industrial Revolution Needed Now?Chapter 5: AI Data Mining, Product Flow, and Cycle TimeChapter 6: Executive Overview of the Fourth Manufacturing RevolutionChapter 7: Introduction to Deep Learning in ManufacturingChapter 8: Specific Applications of Deep Learning in ManufacturingChapter 9: AI Pull System DevelopmentChapter 10: Conducting an AI Readiness AssessmentChapter 11: AI Lean Six Sigma in Process IndustriesChapter 12: AI in Predictive Maintenance to Prevent Machine DowntimeChapter 13: AI in Project Management and Product DevelopmentEndnotesIndex

McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide

• Table of ContentsAuthor's NoteThe Brain: Inspiration for the Neural Network and Deep LearningChapter 1: AI Data Mining Guides an EBITDA TurnaroundChapter 2: The Waste That Only Artificial Intelligence Can EliminateChapter 3: The Productivity Challenge of the Twenty-First CenturyChapter 4: Why Is the Fourth Industrial Revolution Needed Now?Chapter 5: AI Data Mining, Product Flow, and Cycle TimeChapter 6: Executive Overview of the Fourth Manufacturing RevolutionChapter 7: Introduction to Deep Learning in ManufacturingChapter 8: Specific Applications of Deep Learning in ManufacturingChapter 9: AI Pull System DevelopmentChapter 10: Conducting an AI Readiness AssessmentChapter 11: AI Lean Six Sigma in Process IndustriesChapter 12: AI in Predictive Maintenance to Prevent Machine DowntimeChapter 13: AI in Project Management and Product DevelopmentEndnotesIndex

McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide

• Table of ContentsAuthor's NoteThe Brain: Inspiration for the Neural Network and Deep LearningChapter 1: AI Data Mining Guides an EBITDA TurnaroundChapter 2: The Waste That Only Artificial Intelligence Can EliminateChapter 3: The Productivity Challenge of the Twenty-First CenturyChapter 4: Why Is the Fourth Industrial Revolution Needed Now?Chapter 5: AI Data Mining, Product Flow, and Cycle TimeChapter 6: Executive Overview of the Fourth Manufacturing RevolutionChapter 7: Introduction to Deep Learning in ManufacturingChapter 8: Specific Applications of Deep Learning in ManufacturingChapter 9: AI Pull System DevelopmentChapter 10: Conducting an AI Readiness AssessmentChapter 11: AI Lean Six Sigma in Process IndustriesChapter 12: AI in Predictive Maintenance to Prevent Machine DowntimeChapter 13: AI in Project Management and Product DevelopmentEndnotesIndex