blog_posts: 40ae62465f
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id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#34-63830 | 2023-10-20 17:30:59 | Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker | https://aws.amazon.com/blogs/machine-learning/governing-the-ml-lifecycle-at-scale-part-1-a-framework-for-architecting-ml-workloads-using-amazon-sagemaker/ | Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. Recent developments in generative AI models have further sped up the need of ML adoption across industries. However, implementing security, data privacy, and governance controls are still key challenges faced by customers when implementing ML [...] | https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2023/10/05/image001-300x165.png | 40ae62465f | Ram Vittal, Maira Ladeira Tanke, Ryan Lempka, Sriharsh Adari, Sovik Nath | 2023-10-20 17:30:59 | 20 Oct 2023 |
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