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Unleash the power of generative AI with Amazon Q Business: How CCoEs can scale cloud governance best practices and drive innovation

AWS Machine Learning - AI

In this post, we share how Hearst , one of the nation’s largest global, diversified information, services, and media companies, overcame these challenges by creating a self-service generative AI conversational assistant for business units seeking guidance from their CCoE.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle.

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Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning - AI

With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. Principal implemented several measures to improve the security, governance, and performance of its conversational AI platform.

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Generative AI operating models in enterprise organizations with Amazon Bedrock

AWS Machine Learning - AI

Generative AI can revolutionize organizations by enabling the creation of innovative applications that offer enhanced customer and employee experiences. In this post, we evaluate different generative AI operating model architectures that could be adopted.

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Marsh McLennan IT reorg lays foundation for gen AI

CIO

Compounding this risk is a new and poorly understood factor: the potential for AI to amplify political misinformation and disinformation. The US government has already accused the governments of China, Russia, and Iran of attempting to weaponize AI for those purposes.”

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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning - AI

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. Building a generative AI application SageMaker Unified Studio offers tools to discover and build with generative AI.

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Insights in implementing production-ready solutions with generative AI

AWS Machine Learning - AI

As generative AI revolutionizes industries, organizations are eager to harness its potential. 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.