Generative AI Data Governance - Amazon Bedrock Guardrails - AWS
DECEMBER 17, 2024
Build responsible AI applications with Guardrails Amazon Bedrock Guardrails provides configurable safeguards to help safely build generative AI
DECEMBER 17, 2024
Build responsible AI applications with Guardrails Amazon Bedrock Guardrails provides configurable safeguards to help safely build generative AI
Dataconomy
JUNE 19, 2025
**Enterprise data architect:** Manages overall enterprise data strategies for large organizations. Information architect:** Concentrates on business organization and data governance practices. Cloud architect:** Specializes in optimizing cloud implementations for enterprise data.
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AWS Machine Learning Blog
JANUARY 13, 2023
FL doesn’t require moving or sharing data across sites or with a centralized server during the model training process. In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. Participants can either choose to maintain their data in their on-premises systems or in an AWS account that they control.
MAY 30, 2025
Throughout these examples, you will learn how the comprehensive suite of AWS services, including Amazon Bedrock and Amazon SageMaker , are the key to success. A key challenge is synthesizing diverse data into cohesive listings across more than 50 attributes, both textual and numerical.
AWS Machine Learning Blog
FEBRUARY 20, 2025
It employs a retrieval augmented generation (RAG) approach and a combination of AWS services alongside proprietary evaluations to promptly answer most user questions about the capabilities of the Verisk PAAS platform. Jerry holds a degree in Computer Science from Stevens Institute of Technology.
AWS Machine Learning Blog
APRIL 30, 2025
This post explores key insights and lessons learned from AWS customers in Europe, Middle East, and Africa (EMEA) who have successfully navigated this transition, providing a roadmap for others looking to follow suit. Il Sole 24 Ore leveraged its vast internal knowledge with a Retrieval Augmented Generation (RAG) solution powered by AWS.
AWS Machine Learning Blog
JANUARY 13, 2023
Because they’re in a highly regulated domain, HCLS partners and customers seek privacy-preserving mechanisms to manage and analyze large-scale, distributed, and sensitive data. To mitigate these challenges, we propose a federated learning (FL) framework, based on open-source FedML on AWS, which enables analyzing sensitive HCLS data.
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