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This comprehensive chapter delves into the rapidly growing field of cloud-based AI platforms, specifically focusing on Google Cloud AI Platform, AWS AI Services, Microsoft Azure Machine Learning, and IBM Watson. Each of these platforms offers a scalable, accessible, and robust infrastructure for developing, deploying, and managing AI applications, along with an array of pre-built models and APIs. The chapter further presents a detailed overview of each platform, along with practical use cases, before providing a comparison across various parameters. The aim is to help businesses make informed decisions when choosing the best-fit AI platform, taking into account factors such as specific use cases, budget, technical requirements, and team expertise.