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Tag: infrastructure as code

Set up Amazon SageMaker Studio with Jupyter Lab 3 using the AWS CDK

AI
Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) partly based on JupyterLab 3. Studio provides a web-based interface to...

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

AI
This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. Analyzing real-world healthcare and life sciences (HCLS) data poses several practical...

Enriching real-time news streams with the Refinitiv Data Library, AWS services, and Amazon SageMaker

AI
This post is co-authored by Marios Skevofylakas, Jason Ramchandani and Haykaz Aramyan from Refinitiv, An LSEG Business. Financial service providers often need to identify...

Define customized permissions in minutes with Amazon SageMaker Role Manager

AI
Administrators of machine learning (ML) workloads are focused on ensuring that users are operating in the most secure manner, striving towards a principal of...

Enabling hybrid ML workflows on Amazon EKS and Amazon SageMaker with one-click Kubeflow on AWS deployment

AI
Today, many AWS customers are building enterprise-ready machine learning (ML) platforms on Amazon Elastic Kubernetes Service (Amazon EKS) using Kubeflow on AWS (an AWS-specific...

Use an event-driven architecture to build a data mesh on AWS

Big Data
In this post, we take the data mesh design discussed in Design a data mesh architecture using AWS Lake Formation and AWS Glue, and...

Don’t underestimate the cloud’s full value

IOT
As the adoption of cloud computing grows, enterprises see the cloud as the path to modernization. But there is quite a bit of confusion...
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