AWS Machine Learning Blog

Tag: AWS Customer

Real-time music recommendations for new users with Amazon SageMaker

This is a guest post from Matt Fielder and Jordan Rosenblum at iHeartRadio. In their own words, “iHeartRadio is a streaming audio service that reaches tens of millions of users every month and registers many tens of thousands more every day.” Personalization is an important part of the user experience, and we aspire to give […]

Subtitling videos accurately and easily with CaptionHub and AWS

This is a guest post from Graham Pengelly, CTO, and James Jameson, the Commercial Lead, at CaptionHub. CaptionHub is a London-based company that focuses on video captioning and subtitling production for enterprise organizations. While the act of captioning—that is, taking video files and making sure the text on the screen reflects what’s being said accurately […]

Accenture drives machine learning growth in one of the world’s largest private AWS DeepRacer Leagues

Accenture has a rich history of helping customers all over the world build artificial intelligence (AI) and machine learning (ML) powered solutions with AWS services. In doing so, they always look for new and engaging ways to develop their teams with the appropriate level of enablement and hands-on training. Accenture’s next ML initiative is rolling […]

Serving deep learning at Curalate with Apache MXNet, AWS Lambda, and Amazon Elastic Inference

This is a guest blog post by Jesse Brizzi, a computer vision research engineer at Curalate. At Curalate, we’re always coming up with new ways to use deep learning and computer vision to find and leverage user-generated content (UGC) and activate influencers. Some of these applications, like Intelligent Product Tagging, require deep learning models to […]

Making daily dinner easy with Deliveroo meals and Amazon Rekognition

When Software Engineer Florian Thomas describes Deliveroo, he is talking about a rapidly growing, highly in-demand company. Everyone must eat, after all, and Deliveroo is, in his words, “on a mission to transform the way you order food.”  Specifically, Deliveroo’s business is partnering with restaurants to bring customers their favorite eats, right to their doorsteps. […]

Modernizing wound care with Spectral MD, powered by Amazon SageMaker

Spectral MD, Inc. is a clinical research stage medical device company that describes itself as “breaking the barriers of light to see deep inside the body.” Recently designated by the FDA as a “Breakthrough Device,” Spectral MD provides an impressive solution to wound care using cutting edge multispectral imaging and deep learning technologies. This Dallas-based […]

Harvesting success using Amazon SageMaker to power Bayer’s digital farming unit

By the year 2050, our planet will need to feed ten billion people. We can’t expand the earth to create more agricultural land, so the solution to growing more food is to make agriculture more productive and less resource-dependent. In other words, there is no room for crop losses or resource waste. Bayer is using […]

Financially empowering Generation Z with behavioral economics, banking, and AWS machine learning

This is a guest blog post by Dante Monaldo, co-founder and CTO of Pluto Money Pluto Money, a San Francisco-based startup, is a free money management app that combines banking, behavioral economics, and machine learning (ML) to guide Generation Z towards their financial goals in college and beyond. We’re building the first mobile bank designed […]

Creating magical listening experiences with BlueToad and Amazon Polly

This is a guest blog post by Paul DeHart, co-owner and CEO, BlueToad. BlueToad, one of the leading global providers of digital content solutions, prioritizes innovation. Since 2017, we have enabled publishers (our customers) to provide audio versions of articles found in their digital magazines using Amazon Polly. We see that novel content experiences engage today’s […]