AWS Machine Learning Blog

Category: Artificial Intelligence

Extracting handwritten information through Amazon Textract

This post is guest authored by Vibhav Sangam Gupta, a Client Solutions Partner at Quantiphi, Inc. Quantiphi is an award-winning applied AI and data science software and services company driven by the desire to solve transformational problems at the heart of business. We are passionate about our customers and obsessed with problem-solving to make products […]

Amazon Personalize now supports dynamic filters for applying business rules to your recommendations on the fly

This blog post was last reviewed or updated April, 2022 with database schema updates. 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 […]

AWS expands language support for Amazon Lex and Amazon Polly

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 fit the language preferences of your […]

Join the Final Lap of the 2020 DeepRacer League at AWS re:Invent 2020

December 2020 Update – The Wildcard and warmup races are complete and the Round 1 Knockouts are officially underway, streaming live on Twitch. In this round, competitors participate in a brand-new live racing format on the AWS DeepRacer console. Racers submit their best models from anywhere in the world and attempt to navigate the track, […]

Measuring forecast model accuracy to optimize your business objectives with Amazon Forecast

September 2021: This blog has been updated to include three recently launched accuracy metrics in Amazon Forecast and the ability to select an accuracy metric to optimize AutoML. 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 […]

AWS Finance and Global Business Services builds an automated contract-processing platform using Amazon Textract and Amazon Comprehend

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 typically takes more than 150 employee […]

Meet Olivia: The first NTTS voice in Australian English for Amazon Polly

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 (NTTS) technology. The NTTS voices in […]

Configuring Amazon SageMaker Studio for teams and groups with complete resource isolation

October 2022: This post was reviewed and updated to include updates from Amazon SageMaker’s recently released SourceIdentity feature and renaming of AWS SSO to IAM Identity Center. Amazon SageMaker is a fully managed service that provides every machine learning (ML) developer and data scientist with the ability to build, train, and deploy ML models quickly. […]

British Newscaster speaking style now available in Amazon Polly

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 voice is the result of our […]

Learn from the winner of the AWS DeepComposer Chartbusters challenge The Sounds of Science

AWS is excited to announce the winner of the AWS DeepComposer Chartbusters The Sounds of Science Challenge, Sungin Lee. AWS DeepComposer gives developers a creative way to get started with machine learning (ML). In June, we launched Chartbusters, a monthly global competition during which developers use AWS DeepComposer to create original compositions and compete to […]