The Industrial Internet of Things (IIoT) plays a key role in transforming the traditional industrial infrastructure into a smart integrated framework through the amalgamation of physical entities and virtual entities. The integration of AI into the IIoT systems opened a new paradigm named AI-IIoT that enhanced the performance of IIoT systems through data centric insights, prognosis, adaptive actuation, and context aware-automation. However, there are many critical challenges that prevents the large scale adoption of the AI-IIoT systems. This paper presents an overview of AI-IIoT systems focusing on its architecture, applications, challenges and future directions.
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