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.

At Expedia Group two of our key strategic imperatives are to be customer centric and locally relevant on a global basis. This which is why tools such as Amazon QuickSight are so helpful in making it easier to measure, report, and act on our business metrics to help our customers find the best matches for their travel searches. Amazon QuickSight's out-of-the-box machine learning insights help us to continuously monitor our business for anomalies, alert stakeholders when outliers occur, and help our business project future trends, which in turn allows teams to focus on other priorities instead of building out these capabilities from scratch.