In today’s fast-evolving technology landscape, the integration of Artificial Intelligence (AI) into Internet of Things (IoT) systems has become increasingly prevalent. AI-enhanced IoT systems have the potential to revolutionize industries such as healthcare, manufacturing, and smart cities. However, deploying and maintaining these systems can be challenging due to the complexity of the AI models and the need for seamless updates and deployments. This article is tailored for software engineers and explores best practices for implementing Continuous Integration and Continuous Deployment (CI/CD) pipelines for AI-enabled IoT systems, ensuring smooth and efficient operations.

Introduction To CI/CD in IoT Systems

CI/CD is a software development practice that emphasizes the automated building, testing, and deployment of code changes. While CI/CD has traditionally been associated with web and mobile applications, its principles can be effectively applied to AI-enabled IoT systems. These systems often consist of multiple components, including edge devices, cloud services, and AI models, making CI/CD essential for maintaining reliability and agility.

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