Category: Customer Enablement

The recent post Working from Home? Here’s How AWS Can Help shared several ways AWS is helping you set up and scale remote work and work-from-home initiatives. Getting these solutions set up is sometimes best—and achieved more quickly—with expert help. You can get the help you need with AWS IQ, which connects you to AWS […]

AWS introduced the Machine Learning (ML) Solutions Lab a little over two years ago to connect our machine learning experts and data scientists with AWS customers.  Our goal was to help our customers solve their most pressing business problems using ML. We’ve helped our customers increase fraud detection rates, improved forecasting and predictions for more […]

This post looks at the role machine learning plays in providing fans with deeper insights into the game. We also provide code snippets that show the training and deployment process behind these insights on HAQM SageMaker.

The HAQM ML Solutions Lab worked with Kinect Energy recently to build a pipeline to predict future energy prices based on machine learning (ML). We created an automated data ingestion and inference pipeline using HAQM SageMaker and AWS Step Functions to automate and schedule energy price prediction. The process makes special use of the HAQM […]

This post was reviewed and updated May 2022, to enforce model results reproducibility, add reproducibility checks, and to add a batch transform example for model predictions. Previously, this post was updated March 2021 to include SageMaker Neo compilation. Updated the compatibility for model trained using Keras 2.2.x with h5py 2.10.0 and TensorFlow 1.15.3. HAQM SageMaker […]

HAQM SageMaker seq2seq offers you a very simple way to make use of the state-of-the-art encoder-decoder architecture (including the attention mechanism) for your sequence to sequence tasks. You just need to prepare your sequence data in recordio-protobuf format and your vocabulary mapping files in JSON format. Then you need to upload them to HAQM Simple […]

We are excited to announce the HAQM ML Solutions Lab, a new program that connects machine learning experts from across HAQM with AWS customers to help identify novel uses of machine learning inside customers’ businesses, and guide them in developing new machine learning-enabled features, products, and processes. HAQM has been investing in machine learning for more than 20 years, innovating in areas such as fulfilment and logistics, personalization and recommendations, forecasting, fraud prevention, and supply chain optimization. The HAQM ML Solutions Lab provides you access to the same talent that built many of HAQM’s machine learning-powered products and services.