Cloud machine learning platforms are making AI more affordable but also present challenges. ML is the ability of computers to learn without being explicitly programmed. It is growing rapidly and most work is done in the cloud. Key advantages of cloud ML include affordability, lower data storage costs, and tools that can simplify ML application development. However, skills shortages, vendor lock-in, and data integration can pose issues. Alternatives include open source tools or third-party predictive analytics solutions.