AWS unveils machine learning (ML) tools for data science in the cloud

Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. Artificial intelligence (AI) and machine learning (ML) workloads can run in any number of locations including on-premises, at the edge, embedded in devices and in the cloud. Amazon Web Services (AWS) is hoping that more often than not organizations will choose the cloud, where it is offering a growing array of services. At the AWS re:invent 2022 event in Las Vegas today, the company detailed parts of its AI/ML strategy and announced a dizzying lineup of feature updates and new services to help organizations to better use the cloud for data science. The cornerstone of the AWS AI/ML portfolio is the SageMaker suite of services.