Remove 2012 Remove AWS Remove Data Governance
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Use Amazon SageMaker Studio with a custom file system in Amazon EFS

AWS Machine Learning Blog

Amazon EFS provides a scalable fully managed elastic NFS file system for AWS compute instances. Using this folder, users can share data between their own private spaces. This means that each user within the domain will have their own private space on the EFS file system, allowing them to store and access their own data and files.

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Detect and protect sensitive data with Amazon Lex and Amazon CloudWatch Logs

AWS Machine Learning Blog

For audio logs, choose an S3 bucket to store the logs and assign an AWS Key Management Service (AWS KMS) key for added security. The following is a sample AWS Lambda function code in Python for referencing the slot value of a phone number provided by the user. Choose Manage conversation logs. Select Selectively log utterances.

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Access control for vector stores using metadata filtering with Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

This helps maintain data privacy and security, preventing sensitive or restricted information from being inadvertently surfaced or used in generated responses. This access control approach can be extended to other relevant metadata fields, such as year or department, further refining the subset of data accessible to each user or application.

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Enrich your AWS Glue Data Catalog with generative AI metadata using Amazon Bedrock

Flipboard

By harnessing the capabilities of generative AI, you can automate the generation of comprehensive metadata descriptions for your data assets based on their documentation, enhancing discoverability, understanding, and the overall data governance within your AWS Cloud environment. Python and boto3.

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Connect, share, and query where your data sits using Amazon SageMaker Unified Studio

Flipboard

Through this unified query capability, you can create comprehensive insights into customer transaction patterns and purchase behavior for active products without the traditional barriers of data silos or the need to copy data between systems. Data analysts discover the data and subscribe to the data.

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Process Mining – Ist Celonis wirklich so gut? Ein Praxisbericht.

Data Science Blog

Process Mining Tools, die als pure Process Mining Software gestartet sind Hierzu gehört Celonis, das drei-köpfige und sehr geschäftstüchtige Gründer-Team, das ich im Jahr 2012 persönlich kennenlernen durfte. in Databricks oder den KI-Tools von Google, AWS und Mircosoft Azure (Azure Cognitive Services, Azure Machine Learning etc.).

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Dive deep into vector data stores using Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

With the Amazon Bedrock serverless experience, you can experiment with and evaluate top foundation models (FMs) for your use cases, privately customize them with your data using techniques such as fine-tuning and RAG, and build agents that run tasks using enterprise systems and data sources. On the Domains page, open your domain.

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