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Real value, real time: Production AI with Amazon SageMaker and Tecton

Real value, real time: Production AI with Amazon SageMaker and Tecton

This post is cowritten with Isaac Cameron and Alex Gnibus from Tecton. Businesses are under pressure to show return on investment (ROI) from AI use cases, whether predictive machine learning (ML) or generative AI. Only 54% of ML prototypes make it to production, and only 5% of generative AI use cases make it to production. …

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Use Amazon Bedrock tooling with Amazon SageMaker JumpStart models

Use Amazon Bedrock tooling with Amazon SageMaker JumpStart models

Today, we’re excited to announce a new capability that allows you to deploy over 100 open-weight and proprietary models from Amazon SageMaker JumpStart and register them with Amazon Bedrock, allowing you to seamlessly access them through the powerful Amazon Bedrock APIs. You can now use Amazon Bedrock features such as Amazon Bedrock Knowledge Bases and …

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A guide to Amazon Bedrock Model Distillation (preview)

A guide to Amazon Bedrock Model Distillation (preview)

When using generative AI, achieving high performance with low latency models that are cost-efficient is often a challenge, because these goals can clash with each other. With the newly launched Amazon Bedrock Model Distillation feature, you can use smaller, faster, and cost-efficient models that deliver use-case specific accuracy that is comparable to the largest and …

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

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

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. To address these challenges, we introduce Amazon Bedrock IDE, an integrated environment for developing and customizing generative AI applications. Formerly known as Amazon Bedrock Studio, Amazon Bedrock IDE is now incorporated into …

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Scale ML workflows with Amazon SageMaker Studio and Amazon SageMaker HyperPod

Scale ML workflows with Amazon SageMaker Studio and Amazon SageMaker HyperPod

Scaling machine learning (ML) workflows from initial prototypes to large-scale production deployment can be daunting task, but the integration of Amazon SageMaker Studio and Amazon SageMaker HyperPod offers a streamlined solution to this challenge. As teams progress from proof of concept to production-ready models, they often struggle with efficiently managing growing infrastructure and storage needs. …

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Drive efficient software development and boost DevEx with GitHub Copilot

Drive efficient software development and boost DevEx with GitHub Copilot

Leading firms are recognizing that developer productivity alone is not enough to sustain long-term success. As the demand for skilled software engineers continues to rise, retaining talent and fostering a positive work environment has become paramount. Consequently, many firms are shifting their focus beyond developer productivity to optimizing their entire developer experience (DevEx). This approach …

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Introducing Amazon Kendra GenAI Index – Enhanced semantic search and retrieval capabilities

Introducing Amazon Kendra GenAI Index – Enhanced semantic search and retrieval capabilities

Amazon Kendra is an intelligent enterprise search service that helps you search across different content repositories with built-in connectors. AWS customers use Amazon Kendra with large language models (LLMs) to quickly create secure, generative AI–powered conversational experiences on top of your enterprise content. As enterprises adopt generative AI, many are developing intelligent assistants powered by …

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Building Generative AI and ML solutions faster with AI apps from AWS partners using Amazon SageMaker

Building Generative AI and ML solutions faster with AI apps from AWS partners using Amazon SageMaker

Organizations of every size and across every industry are looking to use generative AI to fundamentally transform the business landscape with reimagined customer experiences, increased employee productivity, new levels of creativity, and optimized business processes. A recent study by Telecom Advisory Services, a globally recognized research and consulting firm that specializes in economic impact studies, shows that …

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Query structured data from Amazon Q Business using Amazon QuickSight integration

Query structured data from Amazon Q Business using Amazon QuickSight integration

Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. Although generative AI is fueling transformative innovations, enterprises may still experience sharply divided data silos when it comes to enterprise knowledge, in particular between unstructured content …

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