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Governing ML lifecycle at scale: Best practices to set up cost and usage visibility of ML workloads in multi-account environments

Governing ML lifecycle at scale: Best practices to set up cost and usage visibility of ML workloads in multi-account environments

Cloud costs can significantly impact your business operations. Gaining real-time visibility into infrastructure expenses, usage patterns, and cost drivers is essential. This insight enables agile decision-making, optimized scalability, and maximizes the value derived from cloud investments, providing cost-effective and efficient cloud utilization for your organization’s future growth. What makes cost visibility even more important for …

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Automate invoice processing with Streamlit and Amazon Bedrock

Automate invoice processing with Streamlit and Amazon Bedrock

Invoice processing is a critical yet often cumbersome task for businesses of all sizes, especially for large enterprises dealing with invoices from multiple vendors with varying formats. The sheer volume of data, coupled with the need for accuracy and efficiency, can make invoice processing a significant challenge. Invoices can vary widely in format, structure, and …

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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM), making it easier to securely share and discover machine learning (ML) models across your AWS accounts. Customers find it challenging to share and access ML models across AWS accounts because they have to set up …

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Revolutionize trip planning with Amazon Bedrock and Amazon Location Service

Revolutionize trip planning with Amazon Bedrock and Amazon Location Service

Have you ever stumbled upon a breathtaking travel photo and instantly wondered where it was and how to get there? With 1.3 billion international arrivals in 2023, international travel is poised to exceed pre-pandemic levels and break tourism records in the coming years. Each one of these millions of travelers need to plan where they’ll …

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Simplify automotive damage processing with Amazon Bedrock and vector databases

Simplify automotive damage processing with Amazon Bedrock and vector databases

In the automotive industry, the ability to efficiently assess and address vehicle damage is crucial for efficient operations, customer satisfaction, and cost management. However, manual inspection and damage detection can be a time-consuming and error-prone process, especially when dealing with large volumes of vehicle data, the complexity of assessing vehicle damage, and the potential for …

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Understanding prompt engineering: Unlock the creative potential of Stability AI models on AWS

Understanding prompt engineering: Unlock the creative potential of Stability AI models on AWS

In the rapidly evolving world of generative AI image modeling, prompt engineering has become a crucial skill for developers, designers, and content creators. By crafting effective prompts, you can harness the full potential of advanced diffusion transformer text-to-image models, enabling you to produce high-quality images that align closely with your creative vision. Amazon Bedrock offers …

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Introducing Stable Diffusion 3.5 Large in Amazon SageMaker JumpStart

Introducing Stable Diffusion 3.5 Large in Amazon SageMaker JumpStart

We are excited to announce the availability of Stability AI’s latest and most advanced text-to-image model, Stable Diffusion 3.5 Large, in Amazon SageMaker JumpStart. This new cutting-edge image generation model, which was trained on Amazon SageMaker HyperPod, empowers AWS customers to generate high-quality images from text descriptions with unprecedented ease, flexibility, and creative potential. By …

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Improve governance of models with Amazon SageMaker unified Model Cards and Model Registry

Improve governance of models with Amazon SageMaker unified Model Cards and Model Registry

You can now register machine learning (ML) models in Amazon SageMaker Model Registry with Amazon SageMaker Model Cards, making it straightforward to manage governance information for specific model versions directly in SageMaker Model Registry in just a few clicks. Model cards are an essential component for registered ML models, providing a standardized way to document …

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

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

Live streaming has been gaining immense popularity in recent years, attracting an ever-growing number of viewers and content creators across various platforms. From gaming and entertainment to education and corporate events, live streams have become a powerful medium for real-time engagement and content consumption. However, as the reach of live streams expands globally, language barriers …

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Accelerate your financial statement analysis with Amazon Bedrock and generative AI

Accelerate your financial statement analysis with Amazon Bedrock and generative AI

The financial and banking industry can significantly enhance investment research by integrating generative AI into daily tasks like financial statement analysis. By taking advantage of advanced natural language processing (NLP) capabilities and data analysis techniques, you can streamline common tasks like these in the financial industry: Automating data extraction – The manual data extraction process …

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