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Build well-architected IDP solutions with a custom lens – Part 4: Performance efficiency

AWS Machine Learning

When a customer has a production-ready intelligent document processing (IDP) workload, we often receive requests for a Well-Architected review. To follow along with this post, you should be familiar with the previous posts in this series ( Part 1 and Part 2 ) and the guidelines in Guidance for Intelligent Document Processing on AWS.

APIs 100
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Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence

AWS Machine Learning

The IDP Well-Architected Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching for guidance on how to build secure, efficient, and reliable IDP solutions on AWS. This post focuses on the Operational Excellence pillar of the IDP solution.

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How the UNDP Independent Evaluation Office is using AWS AI/ML services to enhance the use of evaluation to support progress toward the Sustainable Development Goals

AWS Machine Learning

Even though evaluations are guided by the UNDP Evaluation Guideline, there is no standard written format for these evaluations, and the aforementioned sections may occur at different locations in the document, or not all of them may exist. Amazon Textract is used to extract data from PDF documents.

APIs 74
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Testing times: testingRTC is the smart, synchronized, real-world scenario WebRTC testing solution for the times we live in.

Spearline

testingRTC creates faster feedback loops from development to testing. Consequently, no other testing solution can provide the range and depth of testing metrics and analytics. And testingRTC offers multiple ways to export these metrics, from direct collection from webhooks, to downloading results in CSV format using the REST API.

Scripts 98
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Real-time analysis of customer sentiment using AWS

AWS Machine Learning

In this post, we describe an approach for analyzing the overall sentiment of customer feedback in near-real time (a few minutes). We also demonstrate how to understand the different sentiments associated with specific entities in the text (such as company, product, person, or brand) directly from the API. Financial institutions.

APIs 73
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Identify objections in customer conversations using Amazon Comprehend to enhance customer experience without ML expertise

AWS Machine Learning

Amazon Comprehend is a fully managed and continuously trained natural language processing (NLP) service that can extract insight about the content of a document or text. The steps are as follows: The client side calls Amazon API Gateway as the entry point to provide a client message as input. API Gateway bypasses the request to Lambda.

APIs 65
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Announcing Delighted + Klaviyo for Feedback-based Ecommerce Marketing Automation

delighted

Gathering and analyzing feedback is fundamental to a strong customer experience program. However, all of that feedback is meaningless if you don’t act on that feedback and close the loop with your customers. Klaviyo is a leading ecommerce marketing automation and email platform. Closing the Loop with Delighted + Klaviyo.