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Generative AI Data Governance - Amazon Bedrock Guardrails - AWS

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Build responsible AI applications with Guardrails Amazon Bedrock Guardrails provides configurable safeguards to help safely build generative AI

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Data architect

Dataconomy

**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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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

AWS Machine Learning Blog

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.

AWS 104
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Going beyond AI assistants: Examples from Amazon.com reinventing industries with generative AI

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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.

AI 154
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Turbocharging premium audit capabilities with the power of generative AI: Verisk’s journey toward a sophisticated conversational chat platform to enhance customer support

AWS Machine Learning Blog

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.

AI 117
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Insights in implementing production-ready solutions with generative AI

AWS Machine Learning Blog

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.

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

AWS Machine Learning Blog

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.

AWS 101