This report explores the evolution of AI platforms, including AI-as-a-Service (AIaaS) and ML engineering platforms, over the past few years. Deep learning frameworks like TensorFlow and PyTorch have enabled more advanced AI models, while cloud computing and big data have paved the way for new types of AI platforms. The shift is observed from a tech-centric to an outcome-centric approach as applications mature across industries.