Review latest investments to AWS' machine learning platform

AWS is always adding services and features, but it's been particularly active with its AI services of late. For example, AWS rolled out 13 machine learning products at re:Invent 2018 alone. AWS' massive investment in product development is good for users, but this pace of change makes it difficult for IT professionals to keep up. The Deep Learning AMIs and Containers target developers who build sophisticated custom models with the AWS machine learning platform and DevOps teams charged with deploying them on cloud infrastructure. In contrast, the managed services, which join similar products for image recognition, speech transcription and interactive chatbots, are designed for data scientists and non-specialists who want to analyze large and complicated data sets using techniques that are more advanced than standard statistical analysis.