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SageMaker has long been AWS ’ fully manage chopine for building , training , and deploy automobile learning and generative AI simulation . Over time , however , an ecosystem of program has sprung up around AI and ML models for performing job like managing experiments , pass judgment model quality , and protection . Those always lived outside of SageMaker and had to be finagle separately , but now , at its annual re : Invent conference in Las Vegas , AWS is establish a first curated set of AI apps that will be fully managed and secured by the SageMaker team .

Some of the early spouse who are making their applications usable in SageMaker are Comet , Deepchecks , Fiddler , and Lakera Guard .

“ One thing that we ’ve pick up from customers is that , as they ’re build out destruction - to - end AI solutions and workflows , oftentimes they want to habituate a purpose - built tool — a third - party putz — which they really like , and they desire it to work really well with their SageMaker development environment . But today , what they have to do is they have to spend sentence and effort in integrating those third - party cock with the repose of the Sagemaker system , ” Ankur Mehrotra , the director and GM for SageMaker at AWS , told me .

Mehrotra also notice that many companies worry about the security system implications of using a third - company puppet since they do n’t want their data to be deal with these additional services . With these Modern AI apps at heart of SageMaker , AWS says , all of a company ’s data point will appease within the SageMaker surroundings .

From the Storyline:AWS re:Invent 2024: Live updates from Amazon’s biggest event

Amazon ’s re : invent 2024 conference counter to Las Vegas for a series of reveals and keynotes through December 6 . AI is …