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Industrial IoT for Architects and Engineers

You're reading from   Industrial IoT for Architects and Engineers Architecting secure, robust, and scalable industrial IoT solutions with AWS

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Product type Paperback
Published in Jan 2023
Publisher Packt
ISBN-13 9781803240893
Length 344 pages
Edition 1st Edition
Tools
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Authors (2):
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Bharath Sridhar Bharath Sridhar
Author Profile Icon Bharath Sridhar
Bharath Sridhar
Joey Bernal Joey Bernal
Author Profile Icon Joey Bernal
Joey Bernal
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Toc

Table of Contents (19) Chapters Close

Preface 1. Part 1:An Introduction to Industrial IoT and Moving Toward Industry 4.0
2. Chapter 1: Welcome to the IoT Revolution FREE CHAPTER 3. Chapter 2: Anatomy of an IoT Architecture 4. Chapter 3: In-Situ Environmental Monitoring 5. Chapter 4: Real-World Environmental Monitoring 6. Part 2: IoT Integration for Industrial Protocols and Systems
7. Chapter 5: OT and Industrial Control Systems 8. Chapter 6: Enabling Industrial IoT 9. Chapter 7: PLC Data Acquisition and Analysis 10. Chapter 8: Asset and Condition Monitoring 11. Part 3:Building Scalable, Robust, and Secure Solutions
12. Chapter 9: Taking It Up a Notch – Scalable, Robust, and Secure Architectures 13. Chapter 10: Intelligent Systems at the Edge 14. Chapter 11: Remote Monitoring Challenges 15. Chapter 12: Advanced Analytics and Machine Learning 16. Index 17. Other Books You May Enjoy Appendix: General Cybersecurity Topics

Advanced Analytics and Machine Learning

Hopefully, if you have gotten to this point on your journey, you are excited about the possibilities of getting started. Getting to this point has been a workout, but our ultimate goal is to thoroughly understand the how and why of good architectural decision-making. Machine Learning (ML) and Artificial Intelligence (AI) is an exciting topic that is still relatively new in our industry. Performing inference on data in real time to determine a course of action is powerful. Performing inference on your data is often a phrase you will hear in ML. It is the act of reaching a conclusion based on evidence and reasoning. In our case, we will look at how to infer a result or condition based on previous or existing data.

The authors of this book are not data scientists. Generally, we are IoT and cloud architects with a broad set of skills focused on the topics needed to deliver a complex IoT solution, including experience in data collection, engineering...

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