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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. Consider a global retail site operating across multiple regions and countries. Choose Create project. Choose Continue.

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Unlocking the full potential of enterprise AI

CIO

Despite the huge promise surrounding AI, many organizations are finding their implementations are not delivering as hoped. 1] The limits of siloed AI implementations According to SS&C Blue Prism , an expert on AI and automation, the chief issue is that enterprises often implement AI in siloes.

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Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services

AWS Machine Learning - AI

Recognizing this need, we have developed a Chrome extension that harnesses the power of AWS AI and generative AI services, including Amazon Bedrock , an AWS managed service to build and scale generative AI applications with foundation models (FMs). Chiara Relandini is an Associate Solutions Architect at AWS.

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Research: Businesses optimistic as they deploy generative AI

CIO

Respondents represent 12 industries, among them banking, investment and insurance, manufacturing, automotive, retail, healthcare and the public sector. The need for responsible innovation is paramount, as is balancing GenAI ambitions with an organisation’s sustainability goals.

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Research: Businesses optimistic as they deploy generative AI

CIO

Respondents represent 12 industries, among them banking, investment and insurance, manufacturing, automotive, retail, healthcare and the public sector. The need for responsible innovation is paramount, as is balancing GenAI ambitions with an organisations sustainability goals.

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Supercharge your auto scaling for generative AI inference – Introducing Container Caching in SageMaker Inference

AWS Machine Learning - AI

Today at AWS re:Invent 2024, we are excited to announce the new Container Caching capability in Amazon SageMaker, which significantly reduces the time required to scale generative AI models for inference. In our tests, we’ve seen substantial improvements in scaling times for generative AI model endpoints across various frameworks.

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Ethics of generative AI: To be innovative, you must first be trustworthy

CIO

Over the past year, generative AI – artificial intelligence that creates text, audio, and images – has moved from the “interesting concept” stage to the deployment stage for retail, healthcare, finance, and other industries. On today’s most significant ethical challenges with generative AI deployments….