AI System Architecture and Health Assessment
AI System AI system receive inputs (data), process them via data processing applications, which can use AI algorithms for further advanced processing of data or intermediate outputs for generating final outputs for desired outcomes. These outputs could be classifications, clustering, contents, decisions, detections, insights, predictions or recommendations. There are several examples of AI systems such as Autonomous Vehicles, Chatbots, Digital Assistants, Face Recognition and Voice Recognition etc. A. AI System Architecture AI system architecture consists of at least three interconnected layers and underpinning components: applications, data and algorithms. Figure 1 . AI System Architecture 1. Application AI system has AI enabled or augmented or embedded applications that receive initial inputs such as data and apply data processing programs. Based on the processing needs, it makes the data ready for further advanced processing using AI algorithms. As such application captures a