AWS Generative AI Organization 
CIO
NOVEMBER 22, 2024
Generative AI has the potential to redefine productivity, create novel applications, and reinvent customer experience. But without a strategic approach, you could not only miss out on the promise of this powerful tool, but also drain time, energy, and resources away from other mission-critical initiatives across your organization.
AWS Machine Learning - AI
MARCH 4, 2025
To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. In this post, we explore a generative AI solution leveraging Amazon Bedrock to streamline the WAFR process.
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AWS Machine Learning - AI
APRIL 9, 2025
Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. The multi-LLM approach enables organizations to effectively choose the right model for each task, adapt to different domains, and optimize for specific cost, latency, or quality needs.
AWS Machine Learning - AI
NOVEMBER 7, 2024
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.
AWS Machine Learning - AI
NOVEMBER 1, 2024
As enterprises increasingly embrace generative AI , they face challenges in managing the associated costs. With demand for generative AI applications surging across projects and multiple lines of business, accurately allocating and tracking spend becomes more complex.
AWS Machine Learning - AI
NOVEMBER 15, 2024
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. The chatbot improved access to enterprise data and increased productivity across the organization.
AWS Machine Learning - AI
JANUARY 29, 2025
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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