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Customize Amazon Textract with business-specific documents using Custom Queries

AWS Machine Learning

Solution overview When starting with a new use case, you can evaluate how Textract Queries performs on your documents by navigating to the Textract console and using the Analyze Document Demo or Bulk Document Uploader. Adapters can be created via the console or programmatically via the API. What is the bank name/drawee name?

APIs 101
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Automate PDF pre-labeling for Amazon Comprehend

AWS Machine Learning

Amazon Comprehend is a natural-language processing (NLP) service that provides pre-trained and custom APIs to derive insights from textual data. For the demo, we use simulated bank statements like the following example. For the demo, we use simulated bank statements like the following example.

Banking 92
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Integrate Amazon Lex and Uneeq’s digital human platform

AWS Machine Learning

Amazon API Gateway. The Uneeq digital human interfaces with a simple REST API, configured with Lambda proxy integration that in turn interacts with a deployed Amazon Lex bot. Deploy the integration, which is a simple API Gateway REST API and Lambda function using AWS Serverless Application Model (AWS SAM). AWS Lambda.

APIs 83
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WhatsApp Ticketing System: A Quick Set-Up Guide

JustCall

You can also recruit chatbots to build an FAQ bank for your customers. WhatsApp Business has apps for small businesses and an API for large teams. Then, “Get Started” by creating a Facebook Business account and checking whether your business phone number meets all requirements for a WhatsApp Business API phone number.

APIs 52
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Keep Track of Your Budget with Dial YNAB

Nexmo

Their mobile application and website are pretty good, but when I saw that YNAB had recently launched an API it made me think about other ways to access the data in my budget. You’ve been able to call your bank to check the balance on your account for years, but that’s not useful for me.

APIs 73
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Zero-shot and few-shot prompting for the BloomZ 176B foundation model with the simplified Amazon SageMaker JumpStart SDK

AWS Machine Learning

The code for all the steps in this demo is available in the following notebook. Name]: Franck Riboud [Position]: CEO [Company]: Danone ### [Text]: David Melvin is an investment and financial services professional at CITIC CLSA with over 30 years’ experience in investment banking and private equity. Question: When was NLP Cloud founded?

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Identify key insights from text documents through fine-tuning and HPO with Amazon SageMaker JumpStart

AWS Machine Learning

Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. Demo notebook. Text classification.

Scripts 72