Amazon Personalize is Now Generally Available

Today, we’re happy to announce that Amazon Personalize is available to all AWS customers. Announced in preview at AWS re:Invent 2018, Amazon Personalize is a fully-managed service that allows you to create private, customized personalization recommendations for your applications, with little to no machine learning experience required. Whether it is a timely video recommendation inside Read more about Amazon Personalize is Now Generally Available[…]

The AWS DeepRacer League Virtual Circuit is Now Open – Train Your Model Today!

AWS DeepRacer is a 1/18th scale four-wheel drive car with a considerable amount of onboard hardware and software. Starting at re:Invent 2018 and continuing with the AWS Global Summits, you have the opportunity to get hands-on experience with a DeepRacer. At these events, you can train a model using reinforcement learning, and then race it Read more about The AWS DeepRacer League Virtual Circuit is Now Open – Train Your Model Today![…]

Amazon SageMaker Ground Truth Keeps Simplifying Labeling Workflows

Launched at AWS re:Invent 2018, Amazon SageMaker Ground Truth is a capability of Amazon SageMaker that makes it easy for customers to efficiently and accurately label the datasets required for training machine learning systems. A quick recap on Amazon SageMaker Ground Truth Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine Read more about Amazon SageMaker Ground Truth Keeps Simplifying Labeling Workflows[…]

Using AWS AI and Amazon Sumerian in IT Education

This guest post is by AWS Machine Learning Hero, Cyrus Wong. Cyrus is a Data Scientist at the Hong Kong Institute of Vocational Education (Lee Wai Lee) Cloud Innovation Centre. He has achieved all nine AWS Certifications and enjoys sharing his AWS knowledge with others through open-source projects, blog posts, and events. Our institution (IVE) Read more about Using AWS AI and Amazon Sumerian in IT Education[…]

Amazon SageMaker Neo – Train Your Machine Learning Models Once, Run Them Anywhere

Machine learning (ML) is split in two distinct phases: training and inference. Training deals with building the model, i.e. running a ML algorithm on a dataset in order to identify meaningful patterns. This often requires large amounts of storage and computing power, making the cloud a natural place to train ML jobs with services such Read more about Amazon SageMaker Neo – Train Your Machine Learning Models Once, Run Them Anywhere[…]

Amazon Forecast – Time Series Forecasting Made Easy

The capacity to foresee the future would be an incredible superpower. At AWS, we can’t give you that, but we can help you use machine learning to forecast time series in a few steps. The goal of time series forecasting is to predict future values of time-dependent data such as weekly sales, daily inventory levels, Read more about Amazon Forecast – Time Series Forecasting Made Easy[…]

Amazon Personalize – Real-Time Personalization and Recommendation for Everyone

Machine learning definitely offers a wide range of exciting topics to work on, but there’s nothing quite like personalization and recommendation. At first glance, matching users to items that they may like sounds like a simple problem. However, the task of developing an efficient recommender system is challenging. Years ago, Netflix even ran a movie Read more about Amazon Personalize – Real-Time Personalization and Recommendation for Everyone[…]

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 Amazon SageMaker 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 Read more about Amazon SageMaker Adds Batch Transform Feature and Pipe Input Mode for TensorFlow Containers[…]

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

Today I’m excited to announce that Amazon Translate 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 AWS re:Invent in 2017 and my colleague, Tara, wrote about the service in depth. Since Read more about Amazon Translate Adds Support for Japanese, Russian, Italian, Traditional Chinese, Turkish, and Czech[…]

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 Amazon Kinesis Video Streams (KVS). If you’re not already familiar with KVS, Jeff covered the release for AWS re:Invent in 2017. In short, Amazon Kinesis Video Streams is a service for securely capturing, processing, and storing video for analytics Read more about Amazon Kinesis Video Streams Adds Support For HLS Output Streams[…]