AWS News Blog

Category: Amazon Machine Learning

How Grillo Built a Low-Cost Earthquake Early Warning System on AWS

It is estimated that 50 percent of the injuries caused when a high magnitude earthquake affects an area are because of falls or falling hazards. This means that most of these injuries could have been prevented if the population had a few seconds of warning to take cover. Grillo, a social impact enterprise focused on seismology, […]

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Week in Review August 8, 2022

AWS Week in Review – August 8, 2022

As an ex-.NET developer, and now Developer Advocate for .NET at AWS, I’m excited to bring you this week’s Week in Review post, for reasons that will quickly become apparent! There are several updates, customer stories, and events I want to bring to your attention, so let’s dive straight in! Last Week’s launches .NET developers, […]

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AWS Week In Review – July 18, 2022

Last week, AWS Summit New York was held in person at the Javits Center with thousands of attendees and over 100 sponsors and partners. During the keynote, Martin Beeby, AWS Principal Developer Advocate, talked about how innovations in cloud infrastructure enable customers to adapt to challenges and seize new opportunities. It included Liz Fong-Jones‘s great […]

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Paging Doctor Cloud! Amazon HealthLake Is Now Generally Available

At AWS re:Invent 2020, we previewed Amazon HealthLake, a fully managed, HIPAA-eligible service that allows healthcare and life sciences customers to aggregate their health information from different silos and formats into a structured, centralized AWS data lake, and extract insights from that data with analytics and machine learning (ML). Today, I’m very happy to announce […]

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New – Store, Discover, and Share Machine Learning Features with Amazon SageMaker Feature Store

Today, I’m extremely happy to announce Amazon SageMaker Feature Store, a new capability of Amazon SageMaker that makes it easy for data scientists and machine learning engineers to securely store, discover and share curated data used in training and prediction workflows. For all the importance of selecting the right algorithm to train machine learning (ML) […]

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Amazon HealthLake Stores, Transforms, and Analyzes Health Data in the Cloud

Healthcare organizations collect vast amounts of patient information every day, from family history and clinical observations to diagnoses and medications. They use all this data to try to compile a complete picture of a patient’s health information in order to provide better healthcare services. Currently, this data is distributed across various systems (electronic medical records, […]

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Preview: Amazon Lookout for Metrics, an Anomaly Detection Service for Monitoring the Health of Your Business

We are excited to announce Amazon Lookout for Metrics, a new service that uses machine learning (ML) to detect anomalies in your metrics, helping you proactively monitor the health of your business, diagnose issues, and find opportunities quickly – with no ML experience required. Lookout for Metrics uses the same technology used by Amazon to […]

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