DevOps and AIOps

Dev Ops and AI Ops are concepts that significantly impact an AI engineer's work, particularly when it comes to developing and deploying AI systems. Dev Ops, a combination of the terms development and operations, is a set of practices aimed at unifying software development and software operations. It promotes communication, collaboration, and integration between developers and IT operations teams, fostering a culture of shared responsibility, quick iteration, and continuous improvement. The objective is to shorten the development lifecycle and provide continuous delivery of high-quality software. In the context of an AI engineer, Dev Ops practices can be applied to AI system development and deployment, forming a new concept known as ML Ops, Machine Learning Operations. This brings the robustness of Dev Ops to the unpredictable, data-driven world of AI and machine learning. ML Ops aims to standardize and streamline the entire machine learning lifecycle from model development and testing…