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Manage your Amazon Lex bot via AWS CloudFormation templates

AWS Machine Learning

AWSTemplateFormatVersion: "2010-09-09" Transform: AWS::Serverless-2016-10-31 Description: CloudFormation template for book hotel bot. Similarly, you can use a Lambda function for fulfillment as well, for example writing data to databases or calling APIs save the collected information. Resources: # 1.

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5 Reasons You Need a Next-Gen Chatbot for Customer Support

Solvvy

Next-gen chatbots (as opposed to the somewhat flawed ‘traditional’, rule-based chatbots from the 2010’s) leverage tools like AI, natural language processing, machine learning, and automation to deliver fast, easy, and high-quality self-service to your customers with a far lower cost-to-serve. What is a Next-Gen Chatbot?

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6 Best Marketplaces to Sell Online: Start Your Own Business

JivoChat

You just have to make an account, add the items that you are going to sell, set the delivery and payment methods. . Once your account is approved, the best marketplaces offer a very intuitive interface, so you can start selling immediately. To start selling, you just need to create your account, then you have 2 plan options. .

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How to Think Like a Service Brand and Take the Lead

CSM Magazine

The statement describes an outcome, and the company’s newest services—like banking accounts designed for people who live, work and travel all around the world—tightly align to that outcome. in 2010 to $4.1B Designing an effortless, user-centric delivery experience has helped Domino’s revenue grow from $1.6B in the same period).

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The Definitive 2021 Guide to Customer Effort Score

Nicereply

Created in 2010, the Customer Effort Score is fairly new to the scene but is becoming increasingly more popular. In 2010, a team of researchers at the CEB wanted to uncover the most effective strategies customer service teams used to build loyalty. It’s also possible to use the Nicereply API to build an entirely customized survey flow.

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

AWS Machine Learning

2xlarge instances, so you should raise a service limit increase request if your account requires increased limits for this type. This notebook demonstrates how to use the JumpStart API for text classification. max_jobs = 6 # Change parallel training jobs run by AMT to reduce total training time, constrained by your account limits. #

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Process mortgage documents with intelligent document processing using Amazon Textract and Amazon Comprehend

AWS Machine Learning

Although each mortgage application may be unique, we took into account some of the most common documents that are included in a mortgage application, such as the Unified Residential Loan Application (URLA-1003) form, 1099 forms, and mortgage note. For specialized documents such as ID documents, Amazon Textract provides the AnalyzeID API.

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