Category: Amazon Comprehend

By: Hamdy Eed, Sr. Partner Solution Architect – AWS By: A. Soundarapandian, Data Science Practice Head – Hexaware By: Teena Jain, GenAI Solution Lead – Hexaware By: Zeba Shaikh, Technical Solution Architect – Hexaware By: Piyush Patra, Partner Solution Architect – AWS Introduction: In this blog post, we will focus on equipping our readers with […]

ServiceNow and AWS have collaborated to bridge language barriers in global workforces. Using AWS services like Amazon Translate and Amazon Comprehend, the AWS Translate Spoke for ServiceNow Flow Designer enables automatic translation of text into employees’ native languages. By demonstrating how the AWS Translate Spoke can translate knowledge articles, this post explains how ServiceNow customers can easily build multi-language workflows to serve global users.

Crayon developed an intelligent decision support system for Savills Vietnam using AWS which ingests daily news in Vietnamese, translates to English with Amazon Translate, and categorizes articles using Amazon Comprehend. An intelligent search engine built on Amazon Kendra allows users to search in natural language and receive relevant excerpts or answers. With this tool, Savills can stay current on real estate news and trends to identify new opportunities. Optional dashboards provide analytics.

Intelligent document processing (IDP) falls under the intelligent process automation of business tasks, and specifically involves extracting value from documents in an automated manner. Learn how customers can leverage Data Reply’s end-to-end IDP pipeline solution called DocExMachina, which is based on Amazon Textract and Amazon Comprehend. We’ll show how to make this pipeline document agnostic and customizable on AWS.

With Amazon Comprehend, the implementation of natural language processing and machine learning has become a simple, routine task. Organizations no longer have to spend hours trying to pick the right algorithm, as Amazon Comprehend automatically selects the best ones for any given use case. To explore this benefit, learn about an implementation of Amazon Comprehend for risk prediction and sentiment analysis on the observations in clinical trials sites.

Dataiku orchestrates the entire machine learning lifecycle and makes it accessible to data scientists and analysts alike. With deep integration with AWS AI tools, Dataiku enables users to augment their analytics workflow with pretrained NLP and computer vision models. Learn how you can use Amazon Comprehend and Amazon Rekognition plugins on Dataiku Data Science Studio (DSS) to build a simple workflow of NLP and computer vision use cases, respectively.

Many organizations face the challenge of gathering market intelligence on new product and platform announcements made by their partners and competitors—and doing so in a timely fashion. Harnessing these insights quickly can help businesses react to specific industry trends and fuel innovative products and offerings inside their own company.Learn how Accenture helped a customer use AWS to gather critical insights along with key signals and trends from the web using AI and ML techniques.