Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). It provides a single, web-based visual interface where you can perform all ML development steps required to prepare data, as well as build, train, and deploy models. We recently introduced the ability to visually browse
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
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,
Today, we’re launching the Amazon Lex automated chatbot designer (preview), which reduces the time and effort it takes for customers to design a chatbot by automating the process using existing conversation transcripts. Amazon Lex helps you build, test, and deploy chatbots and virtual assistants on contact center services (such as
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.
Today, we’re launching the Amazon Lex automated chatbot designer (preview), which reduces the time and effort it takes for customers to design a chatbot by automating the process using existing conversation transcripts. Amazon Lex helps you build, test, and deploy chatbots and virtual assistants on contact center services (such as
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
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
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
Cresta Intelligence, a California-based AI startup, makes businesses radically more productive by using Expertise AI to help sales and service teams unlock their full potential. Cresta is bringing together world-renowned AI thought-leaders, engineers, and investors to create a real-time coaching and management solution that transforms sales and increases service productivity,
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Shared by AWS Machine Learning December 3, 2021
