AWS News Blog

Category: Events

New – Amazon EMR on Amazon Elastic Kubernetes Service (EKS)

Tens of thousands of customers use Amazon EMR to run big data analytics applications on frameworks such as Apache Spark, Hive, HBase, Flink, Hudi, and Presto at scale. EMR automates the provisioning and scaling of these frameworks and optimizes performance with a wide range of EC2 instance types to meet price and performance requirements. Customer […]

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PennyLane on Braket + Progress Toward Fault-Tolerant Quantum Computing + Tensor Network Simulator

I first wrote about Amazon Braket last year and invited you to Get Started with Quantum Computing! Since that launch we have continued to push forward, and have added several important & powerful new features to Amazon Braket: August 2020 – General Availability of Amazon Braket with access to quantum computing hardware from D-Wave, IonQ, […]

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New for Amazon CodeGuru – Python Support, Security Detectors, and Memory Profiling

Amazon CodeGuru is a developer tool that helps you improve your code quality and has two main components: CodeGuru Reviewer uses program analysis and machine learning to detect potential defects that are difficult to find in your code and offers suggestions for improvement. CodeGuru Profiler collects runtime performance data from your live applications, and provides […]

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AWS Audit Manager

AWS Audit Manager Simplifies Audit Preparation

Gathering evidence in a timely manner to support an audit can be a significant challenge due to manual, error-prone, and sometimes, distributed processes. If your business is subject to compliance requirements, preparing for an audit can cause significant lost productivity and disruption as a result. You might also have trouble applying traditional audit practices, which […]

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Amazon SageMaker JumpStart Simplifies Access to Pre-built Models and Machine Learning Solutions

Today, I’m extremely happy to announce the availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that accelerates your machine learning workflows with one-click access to popular model collections (also known as “model zoos”), and to end-to-end solutions that solve common use cases. In recent years, machine learning (ML) has proven to be a […]

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New – Amazon SageMaker Pipelines Brings DevOps Capabilities to your Machine Learning Projects

Today, I’m extremely happy to announce Amazon SageMaker Pipelines, a new capability of Amazon SageMaker that makes it easy for data scientists and engineers to build, automate, and scale end to end machine learning pipelines. Machine learning (ML) is intrinsically experimental and unpredictable in nature. You spend days or weeks exploring and processing data in […]

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Introducing Amazon SageMaker Data Wrangler, a Visual Interface to Prepare Data for Machine Learning

Today, I’m extremely happy to announce Amazon SageMaker Data Wrangler, a new capability of Amazon SageMaker that makes it faster for data scientists and engineers to prepare data for machine learning (ML) applications by using a visual interface. Whenever I ask a group of data scientists and ML engineers how much time they actually spend […]

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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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