Favorite We’re excited to announce dynamic filters in Amazon Personalize, which allow you to apply business rules to your recommendations on the fly, without any extra cost. Dynamic filters create better user experiences by allowing you to tailor your business rules for each user when you generate recommendations. They save

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Shared by AWS Machine Learning November 14, 2020

Favorite Over the past few years, businesses have experienced a steep rise in the volume of documents they have to deal with. These include a wide range of structured and unstructured text spread across different document formats. Processing these documents and extracting data is labor-intensive and costly. It involves complex

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Shared by AWS Machine Learning November 14, 2020

Favorite Documents are a primary tool for communication, collaboration, record keeping, and transactions across industries, including financial, medical, legal, and real estate. The format of data can pose an extra challenge in data extraction, especially if the content is typed, handwritten, or embedded in a form or table. Furthermore, extracting

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Shared by AWS Machine Learning November 14, 2020

Favorite If you’re a Formula 1 (F1) fan, have you ever wondered why F1 teams have very different performances between qualifying and practice sessions? Why do they have multiple practice sessions in the first place? Can practice session results actually tell something about the upcoming qualifying race? In this post,

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Shared by AWS Machine Learning November 14, 2020

Favorite Amazon Polly is launching a new Australian English voice, Olivia. Amazon Polly turns text into lifelike speech, allowing you to build speech-enabled products. Building upon the existing Australian English Standard voices, Nicole and Russell, Olivia is the first Australian English voice in Amazon Polly powered by the Neural Text-to-Speech

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Shared by AWS Machine Learning November 13, 2020

Favorite Processing incoming documents such as contracts and agreements is often an arduous task. The typical workflow for reviewing signed contracts involves loading, reading, and extracting contractual terms from agreements, which requires hours of manual effort and intensive labor. At AWS Finance and Global Business Services (AWS FGBS), this process

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Shared by AWS Machine Learning November 13, 2020

Favorite We’re excited to announce that you can now measure the accuracy of your forecasting model to optimize the trade-offs between under-forecasting and over-forecasting costs, giving you flexibility in experimentation. Costs associated with under-forecasting and over-forecasting differ. Generally, over-forecasting leads to high inventory carrying costs and waste, whereas under-forecasting leads

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Shared by AWS Machine Learning November 13, 2020

Favorite AWS DeepRacer is the fastest way to get rolling with machine learning (ML). It’s a fully autonomous 1/18th scale race car driven by reinforcement learning, a 3D racing simulator, and a global racing league. Throughout 2020, tens of thousands of developers honed their ML skills and competed in the

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Shared by AWS Machine Learning November 13, 2020

Favorite At AWS, our mission is to enable developers and businesses with no prior machine learning (ML) expertise to easily build sophisticated, scalable, ML-powered applications with our AI services. Today, we’re excited to announce that Amazon Lex and Amazon Polly are expanding language support. You can build ML-powered applications that

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Shared by AWS Machine Learning November 13, 2020

Favorite Amazon Polly turns text into lifelike speech, allowing you to create applications that talk and build entirely new categories of speech-enabled products. We’re thrilled to announce the launch of a brand-new, British Newscaster speaking style voice: Amy. The speaking style mimics a formal and authoritative British newsreader. This Newscaster

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Shared by AWS Machine Learning November 11, 2020