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Full Description
Digital transformation (DT) has become a buzzword. Every industry segment across the globe is consciously jumping toward digital innovation and disruption to get ahead of their competitors. In other words, every aspect of running a business is being digitally empowered to reap all the benefits of the digital paradigm. All kinds of digitally enabled businesses across the globe are intrinsically capable of achieving bigger and better things for their constituents. Their consumers, clients, and customers will realize immense benefits with real digital transformation initiatives and implementations. The much-awaited business transformation can be easily and elegantly accomplished with a workable and winnable digital transformation strategy, plan, and execution.
There are several enablers and accelerators for realizing the much-discussed digital transformation. There are a lot of digitization and digitalization technologies available to streamline and speed up the process of the required transformation. Industrial Internet of Things (IIoT) technologies in close association with decisive advancements in the artificial intelligence (AI) space can bring forth the desired transitions. The other prominent and dominant technologies toward forming digital organizations include cloud IT, edge/fog computing, real-time data analytics platforms, blockchain technology, digital twin paradigm, virtual and augmented reality (VR/AR) techniques, enterprise mobility, and 5G communication. These technological innovations are intrinsically competent and versatile enough to fulfill the varying requirements for establishing and sustaining digital enterprises.
Enterprise Digital Transformation: Technology, Tools, and Use Cases features chapters on the evolving aspects of digital transformation and intelligence. It covers the unique competencies of digitally transformed enterprises, IIoT use cases, and applications. It explains promising technological solutions widely associated with digital innovation and disruption. The book focuses on setting up and sustaining smart factories that are fulfilling the Industry 4.0 vision that is realized through the IIoT and allied technologies.
Contents
1. Get Technology to Contribute to Business Strategy 2. Introduction to Computer Vision 3. Essentials of the Internet of Things (IoT) 4. The Internet of Things Architectures and Use Cases 5. Challenges of Introducing Artificial Intelligence (AI) in Industrial Settings 6. Blockchain-Based Circular Fused Encryption 7. Security Challenges and Attacks in MANET: IoT System 8. Machine and Deep Learning (ML/DL) Algorithms for Next-Generation Healthcare Applications 9. A Review of Neuromorphic Computing: A Promising Approach for IoT-Based Smart Manufacturing 10. Text Summarization for Automatic Grading of Descriptive Assignments: A Hybrid Approach 11. Building Autonomous IIoT Networks using Energy Harvesters 12. An Interactive TUDIG Application for Tumor Detection in MRI Brain Images Using Cascaded CNN with LBP Features 13. Virtual Reality in Medical Training, Patient Rehabilitation, and Psychotherapy: Applications and Future Trends 14. Complexity Measures of Machine Learning Algorithms for Anticipating the Success Rate of IVF Process 15. Commuter Traffic Congestion Control Evasion in IoT-Based VANET Environment 16. Dyad Deep Learning-Based Geometry and Color Attributes Codecs for 3D Airborne LiDAR Point Clouds 17. Digital Enterprise Software Productivity Metrics and Their Business Impacts Using Machine Learning
