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Testing approaches for Amazon SageMaker ML models

This post was co-written with Tobias Wenzel, Software Engineering Manager for the Intuit Machine Learning Platform. We all appreciate the importance of a high-quality and reliable machine learning (ML) model when using autonomous driving or interacting with Alexa, for examples. ML models also play an important role in less obvious ways—they’re used by business applications, …

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Encode multi-lingual text properties in Amazon Neptune to train predictive models

Amazon Neptune ML is a machine learning (ML) capability of Amazon Neptune that helps you make accurate and fast predictions on your graph data. Under the hood, Neptune ML uses Graph Neural Networks (GNNs) to simultaneously take advantage of graph structure and node/edge properties to solve the task at hand. Traditional methods either only use …

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Customer-centric Transformation at a European Bank

Editor’s Note: This is the second post in our three part blog series about building a customer centric bank. You can read Part 1 here. Banking executives have a lot on their to-do list. Adopt AI and machine learning. Personalize service. Govern responsibly. Embrace new business models. It’s clear that digital transformation and customer-centricity rank high …

Empower your organizations to make smart workforce decisions

Over the past few years, the workforce has evolved more than ever. According to the U.S. Bureau of Labor Statistics, 4.25 million people quit their jobs in Jan. 2022, up from 3.3 million in Jan. 2021. And a 2021 report by the Society for Human Resource Management shows more than 40% of U.S. workers are …

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Crossmodal-3600 — Multilingual Reference Captions for Geographically Diverse Images

Posted by Ashish Thapliyal, Software Engineer, and Jordi Pont-Tuset, Research Scientist, Google Research Image captioning is the machine learning task of automatically generating a fluent natural language description for a given image. This task is important for improving accessibility for visually impaired users and is a core task in multimodal research encompassing both vision and …

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Build a solution for a computer vision skin lesion classifier using Amazon SageMaker Pipelines

Amazon SageMaker Pipelines is a continuous integration and continuous delivery (CI/CD) service designed for machine learning (ML) use cases. You can use it to create, automate, and manage end-to-end ML workflows. It tackles the challenge of orchestrating each step of an ML process, which requires time, effort, and resources. To facilitate its use, multiple templates …

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How Amazon Search runs large-scale, resilient machine learning projects with Amazon SageMaker

If you have searched for an item to buy on amazon.com, you have used Amazon Search services. At Amazon Search, we’re responsible for the search and discovery experience for our customers worldwide. In the background, we index our worldwide catalog of products, deploy highly scalable AWS fleets, and use advanced machine learning (ML) to match …

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Press Art to Continue: New AI Tools Promise Art With the Push of a Button — But Reality Is More Complicated

Alien invasions. Gritty dystopian megacities. Battlefields swarming with superheroes. As one of Hollywood’s top concept artists, Drew Leung can visualize any world you can think of, except one where AI takes his job. He would know. He’s spent the past few months trying to make it happen, testing every AI tool he could. “If your …

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Why Palantir Is the Health Tech Startup You’ve Never Heard Of

Shyam Sankar, COO, and Kathleen McMahon, Life Sciences Lead, on improving lives across the healthcare value chain In our August 2022 earnings call, we shared that Palantir’s healthcare business has grown 267% between 2020 and the first half of 2022. For those that have been watching closely, this exponential growth isn’t a surprise. Over the last …