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Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

AWS Machine Learning

default_bucket() upload _path = f"training data/fhe train.csv" boto3.Session().resource("s3").Bucket To see more information about natively supported frameworks and script mode, refer to Use Machine Learning Frameworks, Python, and R with Amazon SageMaker. resource("s3").Bucket Bucket (bucket).Object Object (upload path).upload

Scripts 91
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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

Let’s demystify this using the following personas and a real-world analogy: Data and ML engineers (owners and producers) – They lay the groundwork by feeding data into the feature store Data scientists (consumers) – They extract and utilize this data to craft their models Data engineers serve as architects sketching the initial blueprint.

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Secure Amazon SageMaker Studio presigned URLs Part 3: Multi-account private API access to Studio

AWS Machine Learning

We also introduce a logical construct of a shared services account that plays a key role in governance, administration, and orchestration. Populate the data Run the following script to populate the DynamoDB tables and Amazon Cognito user pool with the required information: /scripts/setup/fill-data.sh

APIs 69
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Securing MLflow in AWS: Fine-grained access control with AWS native services

AWS Machine Learning

AWS CDK constructs are the building blocks of AWS CDK applications, representing the blueprint to define cloud architectures. You can use this script add_users_and_groups.py After running the script, if you check the Amazon Cognito user pool on the Amazon Cognito console, you should see the three users created.

APIs 69
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Optimizing Call Center Customer Support for Increased Revenue

Tenfold - Contact Center Blog

Share responsibility and construct a common goal. With in-depth training sessions through e-learning, virtual assistance, and scripting tools, clearly establish company goals and expectations and provide your agents the confidence to tackle any initiative. This is where big data and predictive analytics come into play.