SageMaker has long been AWS's fully managed platform for building, training, and deploying machine learning and generative AI models. However, over time, an ecosystem of applications centered around AI and ML models has emerged to perform tasks such as managing experiments and assessing model quality and security. These have always existed outside of SageMaker and had to be managed separately, but now AWS is announcing at the annual re:Invent conference in Las Vegas that they will be the first to be fully managed and secured by the SageMaker team. We are announcing a carefully selected set of AI apps.
Early partners making applications available on SageMaker include Comet, Deepchecks, Fiddler, and Lakera Guard.
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“One of the things we hear from our customers is that when they build end-to-end AI solutions and workflows, they often want to use proprietary tools that they really like, third-party tools. would like to work very well in the SageMaker development environment, but currently all they have to do is spend time and effort integrating those third-party tools with the rest of the Sagemaker system. AWS Ankur Mehrotra, director and general manager of SageMaker, told me.
Mehrotra also noted that many companies are concerned about the security implications of using third-party tools and do not want their data to be shared with these additional services. AWS says that with these new AI apps built within SageMaker, all of a company's data remains within the SageMaker environment.