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Dynatrace and the Microsoft commercial marketplace: AI-powered cloud transformation

Dynatrace and the Microsoft commercial marketplace: AI-powered cloud transformation

In today’s digital landscape, the cloud has become a cornerstone for over 90%1 of organizations. This widespread adoption brings a growing complexity to cloud portfolios as companies navigate the challenges of migrating on-premises environments, managing hybrid workloads, and modernizing their cloud estate—all while operating under current business imperatives of speed and scale. To overcome this, …

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Host the Whisper Model on Amazon SageMaker: exploring inference options

Host the Whisper Model on Amazon SageMaker: exploring inference options

OpenAI Whisper is an advanced automatic speech recognition (ASR) model with an MIT license. ASR technology finds utility in transcription services, voice assistants, and enhancing accessibility for individuals with hearing impairments. This state-of-the-art model is trained on a vast and diverse dataset of multilingual and multitask supervised data collected from the web. Its high accuracy …

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Build financial search applications using the Amazon Bedrock Cohere multilingual embedding model

Build financial search applications using the Amazon Bedrock Cohere multilingual embedding model

Enterprises have access to massive amounts of data, much of which is difficult to discover because the data is unstructured. Conventional approaches to analyzing unstructured data use keyword or synonym matching. They don’t capture the full context of a document, making them less effective in dealing with unstructured data. In contrast, text embeddings use machine …

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Ball position tracking in the cloud with the PGA TOUR

Ball position tracking in the cloud with the PGA TOUR

The PGA TOUR continues to enhance the golf experience with real-time data that brings fans closer to the game. To deliver even richer experiences, they are pursuing the development of a next-generation ball position tracking system that automatically tracks the position of the ball on the green. The TOUR currently uses ShotLink powered by CDW, …

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Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

This post is co-written with Jayadeep Pabbisetty, Sr. Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. Model developers often work together in developing ML models and require a robust …

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Inference Llama 2 models with real-time response streaming using Amazon SageMaker

Inference Llama 2 models with real-time response streaming using Amazon SageMaker

With the rapid adoption of generative AI applications, there is a need for these applications to respond in time to reduce the perceived latency with higher throughput. Foundation models (FMs) are often pre-trained on vast corpora of data with parameters ranging in scale of millions to billions and beyond. Large language models (LLMs) are a …

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