AWS News Blog

Randall Hunt

Author: Randall Hunt

Senior Technical Evangelist at AWS. Formerly of NASA, SpaceX, and MongoDB.

Amazon SageMaker Adds Batch Transform Feature and Pipe Input Mode for TensorFlow Containers

At the New York Summit a few days ago we launched two new features: a new batch inference feature called Batch Transform that allows customers to make predictions in non-real time scenarios across petabytes of data and Pipe Input Mode support for TensorFlow containers. SageMaker remains one of my favorite services and we’ve covered it […]

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Amazon Translate Adds Support for Japanese, Russian, Italian, Traditional Chinese, Turkish, and Czech

Today I’m excited to announce that has added support for Japanese, Russian, Italian, Traditional Chinese, Turkish, and Czech! Amazon Translate is a translation API that delivers fast, high-quality, and affordable language translation. Translate was originally released in preview at in 2017 and my colleague, Tara, wrote about the service in depth. Since the initial preview, we’ve […]

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Amazon Kinesis Video Streams Adds Support For HLS Output Streams

Today I’m excited to announce and demonstrate the new HTTP Live Streams (HLS) output feature for (KVS). If you’re not already familiar with KVS, Jeff covered the release for in 2017. In short, Amazon Kinesis Video Streams is a service for securely capturing, processing, and storing video for analytics and machine learning – from one […]

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AWS Lambda Adds Amazon Simple Queue Service to Supported Event Sources

We can now use to trigger functions! This is a stellar update with some key functionality that I’ve personally been looking forward to for more than 4 years. I know our customers are excited to take it for a spin so feel free to skip to the walk through section below if you don’t want […]

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Amazon Comprehend Launches Asynchronous Batch Operations

My colleague Jeff Barr last wrote about , a service for discovering insights and relationships in text, when it launched at in 2017. Today, after iterating on customer feedback, we’re releasing a new asynchronous batch inferencing feature for Comprehend. Asynchronous batch operations work on documents stored in buckets and can perform all of the normal […]

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Amazon SageMaker Automatic Model Tuning: Using Machine Learning for Machine Learning

Today I’m excited to announce the general availability of Amazon SageMaker Automatic Model Tuning. Automatic Model Tuning eliminates the undifferentiated heavy lifting required to search the hyperparameter space for more accurate models. This feature allows developers and data scientists to save significant time and effort in training and tuning their machine learning models. A Hyperparameter […]

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Amazon SageMaker Updates – Tokyo Region, CloudFormation, Chainer, and GreenGrass ML

Today, at the AWS Summit in Tokyo we announced a number of updates and new features for . Starting today, SageMaker is available in ! SageMaker also now supports CloudFormation. A new machine learning framework, Chainer, is now available in the SageMaker Python SDK, in addition to MXNet and Tensorflow. Finally, support for running Chainer […]

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Amazon Neptune Generally Available

Amazon Neptune is now Generally Available in , , , and . is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. At the core of Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying […]

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Simplify Login with Application Load Balancer Built-in Authentication

Today I’m excited to announce built-in authentication support in Application Load Balancers (ALB). ALB can now securely authenticate users as they access applications, letting developers eliminate the code they have to write to support authentication and offload the responsibility of authentication from the backend. The team built a great live example where you can try […]

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