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Announcements, Updates, and Launches

  • New – Process PDFs, Word Documents, and Images with Amazon Comprehend for IDP

    New – Process PDFs, Word Documents, and Images with Amazon Comprehend for IDP

    Today we are announcing a new Amazon Comprehend feature for intelligent document processing (IDP). This feature allows you to classify and extract entities from PDF documents, Microsoft Word...

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  • Introducing Amazon GameLift Anywhere – Run Your Game Servers on Your Own Infrastructure

    Introducing Amazon GameLift Anywhere – Run Your Game Servers on Your Own Infrastructure

    In 2016, we launched Amazon GameLift, a dedicated hosting solution that securely deploys and automatically scales fleets of session-based multiplayer game servers to meet worldwide player demand....

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  • Announcing Amazon CodeCatalyst, a Unified Software Development Service (Preview)

    Announcing Amazon CodeCatalyst, a Unified Software Development Service (Preview)

    Today, we announced the preview release of Amazon CodeCatalyst. A unified software development and delivery service, Amazon CodeCatalyst enables software development teams to quickly and easily...

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  • New — Create Point-to-Point Integrations Between Event Producers and Consumers with Amazon EventBridge Pipes

    New — Create Point-to-Point Integrations Between Event Producers and Consumers with Amazon EventBridge Pipes

    It is increasingly common to use multiple cloud services as building blocks to assemble a modern event-driven application. Using purpose-built services to accomplish a particular task ensures...

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  • Step Functions Distributed Map – A Serverless Solution for Large-Scale Parallel Data Processing

    Step Functions Distributed Map – A Serverless Solution for Large-Scale Parallel Data Processing

    I am excited to announce the availability of a distributed map for AWS Step Functions. This flow extends support for orchestrating large-scale parallel workloads such as the on-demand processing...

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  • AWS Marketplace Vendor Insights – Simplify Third-Party Software Risk Assessments

    AWS Marketplace Vendor Insights – Simplify Third-Party Software Risk Assessments

    AWS Marketplace Vendor Insights is a new capability of AWS Marketplace. It simplifies third-party software risk assessments when procuring solutions from the AWS Marketplace. It helps you to...

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  • New for Amazon SageMaker – Perform Shadow Tests to Compare Inference Performance Between ML Model Variants

    New for Amazon SageMaker – Perform Shadow Tests to Compare Inference Performance Between ML Model Variants

    As you move your machine learning (ML) workloads into production, you need to continuously monitor your deployed models and iterate when you observe a deviation in your model performance. When you...

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  • Next Generation SageMaker Notebooks – Now with Built-in Data Preparation, Real-Time Collaboration, and Notebook Automation

    Next Generation SageMaker Notebooks – Now with Built-in Data Preparation, Real-Time Collaboration, and Notebook Automation

    In 2019, we introduced Amazon SageMaker Studio, the first fully integrated development environment (IDE) for data science and machine learning (ML). SageMaker Studio gives you access to fully...

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  • New – Share ML Models and Notebooks More Easily Within Your Organization with Amazon SageMaker JumpStart

    New – Share ML Models and Notebooks More Easily Within Your Organization with Amazon SageMaker JumpStart

    Amazon SageMaker JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. SageMaker JumpStart gives you access to built-in algorithms with pre-trained models from...

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  • AWS Machine Learning University New Educator Enablement Program to Build Diverse Talent for ML/AI Jobs

    AWS Machine Learning University New Educator Enablement Program to Build Diverse Talent for ML/AI Jobs

    AWS Machine Learning University is now providing a free educator enablement program. This program provides faculty at community colleges, minority-serving institutions (MSIs), and historically...

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  • New for Amazon Redshift – Simplify Data Ingestion and Make Your Data Warehouse More Secure and Reliable

    New for Amazon Redshift – Simplify Data Ingestion and Make Your Data Warehouse More Secure and Reliable

    When we talk with customers, we hear that they want to be able to harness insights from data in order to make timely, impactful, and actionable business decisions. A common pattern with...

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  • New — Introducing Support for Real-Time and Batch Inference in Amazon SageMaker Data Wrangler

    New — Introducing Support for Real-Time and Batch Inference in Amazon SageMaker Data Wrangler

    To build machine learning models, machine learning engineers need to develop a data transformation pipeline to prepare the data. The process of designing this pipeline is time-consuming and...

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  • New — Amazon SageMaker Data Wrangler Supports SaaS Applications as Data Sources

    New — Amazon SageMaker Data Wrangler Supports SaaS Applications as Data Sources

    Data fuels machine learning. In machine learning, data preparation is the process of transforming raw data into a format that is suitable for further processing and analysis. The common process...

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  • Announcing Additional Data Connectors for Amazon AppFlow

    Announcing Additional Data Connectors for Amazon AppFlow

    Gathering insights from data is a more effective process if that data isn’t fragmented across multiple systems and data stores, whether on premises or in the cloud. Amazon AppFlow provides...

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  • New ML Governance Tools for Amazon SageMaker – Simplify Access Control and Enhance Transparency Over Your ML Projects

    New ML Governance Tools for Amazon SageMaker – Simplify Access Control and Enhance Transparency Over Your ML Projects

    As companies increasingly adopt machine learning (ML) for their business applications, they are looking for ways to improve governance of their ML projects with simplified access control and...

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  • Join the Preview – AWS Glue Data Quality

    Join the Preview – AWS Glue Data Quality

    Back in 1980, at my second professional programming job, I was working on a project that analyzed driver’s license data from a bunch of US states. At that time data of that type was generally...

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  • New – Trusted Language Extensions for PostgreSQL on Amazon Aurora and Amazon RDS

    New – Trusted Language Extensions for PostgreSQL on Amazon Aurora and Amazon RDS

    PostgreSQL has become the preferred open-source relational database for many enterprises and start-ups with its extensible design for developers. One of the reasons developers use PostgreSQL is it...

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  • Preview: Use Amazon SageMaker to Build, Train, and Deploy ML Models Using Geospatial Data

    Preview: Use Amazon SageMaker to Build, Train, and Deploy ML Models Using Geospatial Data

    You use map apps every day to find your favorite restaurant or travel the fastest route using geospatial data. There are two types of geospatial data: vector data that uses two-dimensional...

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  • New – Redesigned UI for Amazon SageMaker Studio

    New – Redesigned UI for Amazon SageMaker Studio

    Today, I’m excited to announce a new, redesigned user interface (UI) for Amazon SageMaker Studio. SageMaker Studio provides a single, web-based visual interface where you can perform all machine...

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  • Announcing Amazon DocumentDB Elastic Clusters

    Announcing Amazon DocumentDB Elastic Clusters

    Amazon DocumentDB (with MongoDB compatibility) is a scalable, highly durable, and fully managed database service for operating mission-critical JSON workloads. It is one of AWS fast-growing...

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