Cloud 3.0 marks the beginning of Artificial Intelligence (AI) cloud orchestration. Commercial-grade AI requires AI algorithms, domain subject matter expertise for modeling, big data for training and massive compute on specialized hardware. The ecosystem of web services and serverless compute in Cloud 3.0 is accelerating the hyper-convergence of AI building blocks. To capitalize on these technologies, CIOs and CTOs must reengineer the process to build Machine Learning (ML) and AI applications. With a few changes in application design patterns, organizations can begin to access previously unreachable expertise, data and compute to build disruptive applications.