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Amazon Lex Introduces an Enhanced Console Experience and New V2 APIs

Today, the Amazon Lex team has released a new console experience that makes it easier to build, deploy, and manage conversational experiences. Along with the new console, we have also introduced new V2 APIs, including continuous streaming capability.…
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Modern approaches to observability and monitoring for multicloud environments

A modern observability solution can transform data from across complex, distributed environments into actionable business intelligence. Learn more here. IT, DevOps, and SRE teams are racing to keep up with…
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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…
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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…
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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…
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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…
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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…
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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…
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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…
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Amazon SageMaker Edge Manager Simplifies Operating Machine Learning Models on Edge Devices

Today, I’m extremely happy to announce Amazon SageMaker Edge Manager, a new capability of Amazon SageMaker that makes it easier to optimize, secure, monitor, and maintain machine learning models on a fleet of edge devices.Edge computing…