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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning - AI

Professionals in a wide variety of industries have adopted digital video conferencing tools as part of their regular meetings with suppliers, colleagues, and customers. Many commercial generative AI solutions available are expensive and require user-based licenses.

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Video security analysis for privileged access management using generative AI and Amazon Bedrock

AWS Machine Learning - AI

Keystroke logging (the action of recording the keys struck on a keyboard into a log) and video recording of the server console sessions is a feature of PAM systems that enable security teams to meet these security and compliance obligations. AI services have revolutionized the way we process, analyze, and extract insights from video content.

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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). See the extension in action in the video below.

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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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How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines

AWS Machine Learning - AI

With a growing library of long-form video content, DPG Media recognizes the importance of efficiently managing and enhancing video metadata such as actor information, genre, summary of episodes, the mood of the video, and more. For some content, additional screening is performed to generate subtitles and captions.

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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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EBSCOlearning scales assessment generation for their online learning content with generative AI

AWS Machine Learning - AI

In this post, we illustrate how EBSCOlearning partnered with AWS Generative AI Innovation Center (GenAIIC) to use the power of generative AI in revolutionizing their learning assessment process. QA generation The process begins with the QA generation component. Sonnet model in Amazon Bedrock.