AWS Machine Learning Blog

Category: Artificial Intelligence

Expedite IVR development with industry grammars on Amazon Lex

Amazon Lex is a service for building conversational interfaces into any application using voice and text. With Amazon Lex, you can easily build sophisticated, natural language, conversational bots (chatbots), virtual agents, and interactive voice response (IVR) systems. You can now use industry grammars to accelerate IVR development on Amazon Lex as part of your IVR […]

Easily migrate your IVR flows to Amazon Lex using the IVR migration tool

This post was co-written by John Heater, SVP of the Contact Center Practice at NeuraFlash. NeuraFlash is an Advanced AWS Partner with over 40 collective years of experience in the voice and automation space. With a dedicated team of conversation designers, data engineers, and AWS developers, NeuraFlash helps customers take advantage of the power of Amazon […]

How Amazon Search achieves low-latency, high-throughput T5 inference with NVIDIA Triton on AWS

Amazon Search’s vision is to enable customers to search effortlessly. Our spelling correction helps you find what you want even if you don’t know the exact spelling of the intended words. In the past, we used classical machine learning (ML) algorithms with manual feature engineering for spelling correction. To make the next generational leap in […]

Enable conversational chatbots for telephony using Amazon Lex and the Amazon Chime SDK

Conversational AI can deliver powerful, automated, interactive experiences through voice and text. Amazon Lex is a service that combines automatic speech recognition and natural language understanding technologies, so you can build these sophisticated conversational experiences. A common application of conversational AI is found in contact centers: self-service virtual agents. We’re excited to announce that you […]

Build a traceable, custom, multi-format document parsing pipeline with Amazon Textract

Organizational forms serve as a primary business tool across industries—from financial services, to healthcare, and more. Consider, for example, tax filing forms in the tax management industry, where new forms come out each year with largely the same information. AWS customers across sectors need to process and store information in forms as part of their […]

Amazon SageMaker JumpStart models and algorithms now available via API

July 2023: This post was reviewed for accuracy. In December 2020, AWS announced the general availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that helps you quickly and easily get started with machine learning (ML). JumpStart provides one-click fine-tuning and deployment of a wide variety of pre-trained models across popular ML tasks, as […]

Unravel the knowledge in Slack workspaces with intelligent search using the Amazon Kendra Slack connector

Organizations use messaging platforms like Slack to bring the right people together to securely communicate with each other and collaborate to get work done. A Slack workspace captures invaluable organizational knowledge in the form of the information that flows through it as the users collaborate. However, making this knowledge easily and securely available to users […]

Securely search unstructured data on Windows file systems with the Amazon Kendra connector for Amazon FSx for Windows File Server

Critical information can be scattered across multiple data sources in your organization, including sources such as Windows file systems stored on Amazon FSx for Windows File Server. You can now use the Amazon Kendra connector for FSx for Windows File Server to index documents (HTML, PDF, MS Word, MS PowerPoint, and plain text) stored in […]

Automate email responses using Amazon Comprehend custom classification and entity detection

In this post, we demonstrate how to create an automated email response solution using Amazon Comprehend. Organizations spend lots of resources, effort, and money on running their customer care operations to answer customer questions and provide solutions. Your customers may ask questions via various channels, such as email, chat, or phone, and deploying a workforce […]

Computer vision using synthetic datasets with Amazon Rekognition Custom Labels and Dassault Systèmes 3DEXCITE

This is a post co-written with Bernard Paques, CTO of Storm Reply, and Karl Herkt, Senior Strategist at Dassault Systèmes 3DExcite. While computer vision can be crucial to industrial maintenance, manufacturing, logistics, and consumer applications, its adoption is limited by the manual creation of training datasets. The creation of labeled pictures in an industrial context […]