Advanced analytics is classified as the set of analytics that requires complex statistical analysis, physics-based models, neural networks, and so on; in other words, the analytics that falls under the category of artificial intelligence (AI) for building machine learning models and predicting outcomes based on the machine models using observed data. AI-based analytics are all about learning from the observed data and eventually predicting the outcomes for the new data, or classifying the data based on the models built using the knowledge-based systems. In this section, we will primarily discuss machine learning and deep learning methods in building the AI algorithms.
Industrial Internet Application Development
By :
Industrial Internet Application Development
By:
Overview of this book
The Industrial Internet refers to the integration of complex physical machines with networked sensors and software. The growth in the number of sensors used in industrial machinery has led to an exponential increase in data being captured for predictive analytics.
Industrial Internet Application Development is a practical guide for developers who want to create applications that leverage the full capabilities of IIoT. You will get started by learning how to develop your first IIoT application and understanding its deployment and security. Once you’re familiar with what IIoT is, you will move on to exploring Edge Development along with the analytics aspect of the IIoT stack. In later chapters, you’ll get to grips with the deployment of IIoT applications on the Predix platform. As you cover these concepts, you’ll be able to identify key elements of the development framework and understand their importance while considering architecture and design for IIoT applications.
By the end of this book, you will have the skills you need to deploy IIoT applications on the Predix platform and incorporate best practices for developing fault-tolerant and reliable IIoT systems.
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Current Title:
Industrial Internet Application Development
Table of Contents (13 chapters)
Preface
Free Chapter
IIoT Fundamentals and Components
IIoT Application Architecture and Design
IIoT Edge Development
Data for IIoT
Advanced Analytics for the IIoT
Developing Your First Application for IIoT
Deployment, Scale, and Security
Reliability, Fault Tolerance, and Monitoring IIoT Applications
Implementing IIoT Applications with Predix
Best Practices for IIoT Applications
Future Direction of the IIoT
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