AWS Machine Learning Blog

Category: Artificial Intelligence

Accurately predicting future sales at Clearly using Amazon Forecast

This post was cowritten by Ziv Pollak, Machine Learning Team Lead, and Alex Thoreux, Web Analyst at Clearly. A pioneer in online shopping, Clearly launched their first site in 2000. Since then, they’ve grown to become one of the biggest online eyewear retailers in the world, providing customers across Canada, the US, Australia and New […]

Announcing model improvements and lower annotation limits for Amazon Comprehend custom entity recognition

Update August 3, 2022: Minimum requirements for training entity recognizers have been further reduced. You can now build a custom entity recognition model with as few as three documents and 25 annotations per entity type. Additional details available in the Amazon Comprehend Guidelines and quotas webpage and in the blog post announcing the limit reduction. […]

Make your audio and video files searchable using Amazon Transcribe and Amazon Kendra

Updated May 2023 (v0.3.0): With this release MediaSearch indexer now supports indexing YouTube media and the MediaSearch Finder is enhanced to support playing YouTube videos inline. The demand for audio and video media content is growing at an unprecedented rate. Organizations are using media to engage with their audiences like never before. Product documentation is […]

Detect anomalies in operational metrics using Dynatrace and Amazon Lookout for Metrics

Organizations of all sizes and across all industries gather and analyze metrics or key performance indicators (KPIs) to help their businesses run effectively and efficiently. Operational metrics are used to evaluate performance, compare results, and track relevant data to improve business outcomes. For example, you can use operational metrics to determine application performance (the average […]

Accenture promotes machine learning growth with world’s largest private AWS DeepComposer Battle of the Bands League

April 2023 Update: Starting January 31, 2024, you will no longer be able to access AWS DeepLens through the AWS management console, manage DeepLens devices, or access any projects you have created. To learn more, refer to these frequently asked questions about AWS DeepLens end of life. Accenture is known for pioneering innovative solutions to achieve […]

Scale your Amazon Kendra index

Amazon Kendra is a fully managed, intelligent search service powered by machine learning. Amazon Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they’re looking for. Using keyword or natural language queries, employees and customers can find the right content even when it’s scattered across […]

Reimagine knowledge discovery using Amazon Kendra’s Web Crawler

When you deploy intelligent search in your organization, two important factors to consider are access to the latest and most comprehensive information, and a contextual discovery mechanism. Many companies are still struggling to make their internal documents searchable in a way that allows employees to get relevant information knowledge in a scalable, cost-effective manner. A […]

Enghouse EspialTV enables TV accessibility with Amazon Polly

This is a guest post by Mick McCluskey, the VP of Product Management at Enghouse EspialTV. Enghouse provides software solutions that power digital transformation for communications service operators. EspialTV is an Enghouse SaaS solution that transforms the delivery of TV services for these operators across Set Top Boxes (STBs), media players, and mobile devices. A […]

Upgrade your Amazon Polly voices to neural with one line of code

In 2019, Amazon Polly launched neural text-to-speech (NTTS) voices in US English and UK English. Neural voices use machine learning and provide a richer, more lifelike speech quality. Since the initial launch of NTTS, Amazon Polly has extended its neural offering by adding new voices in US Spanish, Brazilian Portuguese, Australian English, Canadian French, German […]

Extend Amazon SageMaker Pipelines to include custom steps using callback steps

Launched at AWS re:Invent 2020, Amazon SageMaker Pipelines is the first purpose-built, easy-to-use continuous integration and continuous delivery (CI/CD) service for machine learning (ML). With Pipelines, you can create, automate, and manage end-to-end ML workflows at scale. You can extend your pipelines to include steps for tasks performed outside of Amazon SageMaker by taking advantage […]