Abstract
Artificial intelligence (AI) is gaining a strong foothold across numerous applications, lowering the barriers to the use and availability of data. The development of AI cannot be separated from the Industrial Revolution 4.0. AI itself is the senses cognitive and machine learning process in problem- solving. AI systems modeled after the way that human brains operate; taking in information and activating neurons that themselves are not smart, but combine to create probabilistic models that mimic our pattern-recognizing intelligence. Considering this notion of similarity, it subsequently seems abundantly evident that problems facing human-created artificial intelligence will be those that plague human intelligence. The Cyber-Physical System (CPS), together with the Internet of Things, Big Data, Cloud Computing, and Industrial Wireless Networks, are the core technologies related to Industry 4.0. It is crucial to identify the specificities of AI software in software engineering to cope with the Industrial Revolution 4.0. The software used in AI-related with industrial revolution 4.0 needs to follow the rules of software engineering as the AI used is a part of the application used in industrial revolutions 4.0. The challenges in the software related AI can be solved using the PDCA approach, SDLC model, and DevOps practices.
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