AI in the cloud: AWS makes machine learning more accessible for developers - SiliconANGLE

Amazon Web Services Inc.'s re:Invent conference is still nearly a week away, but you wouldn't know it from the sheer number of new products and updates its announced in recent days -- especially in artificial intelligence, likely to be a key focus of the conference. Following last week's storage announcements and its "internet of things" updates on Monday, AWS today introduced new features aimed at making it easier for developers to add AI predictions to their applications and services. The central idea is to put Amazon's machine learning technology in reach of more developers, AWS principal Matt Asay said in a blog post. Machine learning predictions will soon be able to run on unstructured or relational data in Amazon S3, its main storage service, and Amazon Aurora, which is a cloud-hosted MySQL and PostgreSQL-compatible relational database service. What that means is that customers will be able to train machine learning models in SQL using Aurora or AWS Athena, which is an interactive query service for analyzing data in S3.