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Hands-On Industrial Internet of Things

You're reading from   Hands-On Industrial Internet of Things Build robust industrial IoT infrastructure by using the cloud and artificial intelligence

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835887462
Length 530 pages
Edition 2nd Edition
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Authors (2):
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Antonio Capasso Antonio Capasso
Author Profile Icon Antonio Capasso
Antonio Capasso
Giacomo Veneri Giacomo Veneri
Author Profile Icon Giacomo Veneri
Giacomo Veneri
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1:Industrial IoT FREE CHAPTER
2. Chapter 1: Introduction to Industrial IoT 3. Chapter 2: Understanding the Industrial Process and Devices 4. Chapter 3: Industrial Data Flow and Devices 5. Chapter 4: Implementing the Industrial IoT Data Flow 6. Chapter 5: Applying Cybersecurity 7. Chapter 6: Performing an Exercise Based on Industrial Protocols and Standards 8. Part 2:Industrial IoT Architecture
9. Chapter 7: Developing Industrial IoT and Architecture 10. Chapter 8: Implementing a Custom Industrial IoT Platform 11. Chapter 9: Building an AWS Industrial IoT Solution 12. Chapter 10: Implementing an Industrial IOT Data Flow with AWS 13. Chapter 11: Performing a Practical Industrial IoT Solution with Azure 14. Chapter 12: Implementing an Industrial IoT Data Flow with Azure 15. Part 3:Industrial Artificial Intelligence of Things
16. Chapter 13: Performing Diagnostic, Maintenance, and Predictive Analytics 17. Chapter 14: Implementing a Digital Twin – Advanced Analytics 18. Chapter 15: Deploying an Analytics Model 19. Index 20. Other Books You May Enjoy

Understanding GCP and multi-cloud solutions

GCP is extremely focused on ML algorithms and provides a wide variety of technologies to build an analytical model. GCP has also developed its own Tensor Processing Unit (TPU) processor to speed up the adoption of ML. GCP supports ML through the Google Cloud Vertex AI and AutoML services (https://cloud.google.com/products/ai). GCP also supports several models of generative AI (GenAI), such as Gemini.

Google also offers a free development environment for ML called Colab (https://colab.research.google.com/).

In this book, we have often highlighted the differences and similarities between platforms to allow you to choose the right platform. Choosing the right cloud for our platform is a complex and risky job that is likely to have a significant impact on our business. Potential risks are represented by the learning curve, changes in the business, and costs. The following table shows common risks you can face in your organization and related...

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