AWS Machine Learning Blog

Category: Artificial Intelligence

AWS BugBust sets the Guinness World Record for the largest bug fixing challenge

AWS BugBust is the first global bug-busting challenge for developers to eliminate 1 million software bugs and save $100 million in technical debt for their organizations. AWS BugBust allows you to create and manage private events that transform and gamify the process of finding and fixing bugs in your software. With automated code analysis, built-in […]

Announcing support for extracting data from identity documents using Amazon Textract

Creating efficiencies in your business is at the top of your list. You want your employees to be more productive, have them focus on high impact tasks, or find ways to implement better processes to improve the outcomes to your customers. There are various ways to solve this problem, and more companies are turning to […]

Roundup of re:Invent 2021 Amazon SageMaker announcements

At re:Invent 2021, AWS announced several new Amazon SageMaker features that make machine learning (ML) accessible to new types of users while continuing to increase performance and reduce cost for data scientists and ML experts. In this post, we provide a summary of these announcements, along with resources for you to get more details on […]

Enrich your content and metadata to enhance your search experience with custom document enrichment in Amazon Kendra

Amazon Kendra customers can now enrich document metadata and content during the document ingestion process using custom document enrichment (CDE). Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines search for your websites and applications so your employees and customers can easily find the content they’re looking for, even […]

Continuously improve search application effectiveness with Amazon Kendra Analytics Dashboard

Unstructured data belonging to enterprises continues to grow, making it a challenge for customers and employees to get the information they need. Amazon Kendra is a highly accurate intelligent search service powered by machine learning (ML). It helps you easily find the content you’re looking for, even when it’s scattered across multiple locations and content […]

Expedite conversation design with the automated chatbot designer in Amazon Lex

Update June 20th 2022: The Automated Chatbot Designer is now generally available. Since the preview launch, we have improved quality of intent recommendations and diversity of utterances, introduced a click-through experience, and added usability enhancements. These updates, further reduces time and effort it takes to design a chatbot. Today, we’re launching the Amazon Lex automated […]

Quickly build custom search applications without writing code using Amazon Kendra Experience Builder

Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines search for your websites and applications so your employees and customers can easily find the content they’re looking for, even when it’s scattered across multiple locations and content repositories within your organization. With Amazon Kendra, you don’t need to click […]

Create and manage Amazon EMR Clusters from SageMaker Studio to run interactive Spark and ML workloads – Part 2

In Part 1 of this series, we offered step-by-step guidance for creating, connecting, stopping, and debugging Amazon EMR clusters from Amazon SageMaker Studio in a single-account setup. In this post, we dive deep into how you can use the same functionality in certain enterprise-ready, multi-account setups. As described in the AWS Well-Architected Framework, separating workloads […]

Create and manage Amazon EMR Clusters from SageMaker Studio to run interactive Spark and ML workloads – Part 1

January 2023: This blog post was reviewed and updated to include an updated AWS CloudFormation stack that has role creation improvements and uses the most recent version of Amazon EMR 6.9 at the time of this writing. The stack which utilizes your existing Amazon SageMaker domain is removed, now that you can have multiple domains […]

Improve the return on your marketing investments with intelligent user segmentation in Amazon Personalize

Today, we’re excited to announce intelligent user segmentation powered by machine learning (ML) in Amazon Personalize, a new way to deliver personalized experiences to your users and run more effective campaigns through your marketing channels. Traditionally, user segmentation depends on demographic or psychographic information to sort users into predefined audiences. More advanced techniques look to […]