article thumbnail

Customize Amazon Textract with business-specific documents using Custom Queries

AWS Machine Learning

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents. Queries is a feature that enables you to extract specific pieces of information from varying, complex documents using natural language. personal or cashier’s checks), financial institution and country (e.g.,

article thumbnail

How to Use CX Metrics to Find Bottlenecks to Product Led Growth

InMoment XI

PLG relies on the product itself as the primary driver of customer acquisition, conversion and expansion. Customer experience (CX) metrics have an important role to play in this strategy—something I explored in-depth in a previous post: Customer Experience in the Era of Product Led Growth. Where are the bottlenecks?

Metrics 260
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Implement smart document search index with Amazon Textract and Amazon OpenSearch

AWS Machine Learning

For modern companies that deal with enormous volumes of documents such as contracts, invoices, resumes, and reports, efficiently processing and retrieving pertinent data is critical to maintaining a competitive edge. What if there was a way to process documents intelligently and make them searchable in with high accuracy?

Metrics 105
article thumbnail

Using Omnichannel Contact Center to Drive Customer Satisfaction

InMoment XI

An omnichannel contact center is a customer service model that integrates and manages various communication channels in a unified and seamless manner. In an omnichannel contact center, customers can interact with a business through channels such as phone calls, emails, chat, social media, and more.

article thumbnail

The Health of the Contact Center: Are You Ready for 2019?

A survey of 1,000 contact center professionals reveals what it takes to improve agent well-being in a customer-centric era. This report is a must-read for contact center leaders preparing to engage agents and improve customer experience in 2019.

article thumbnail

Automate mortgage document fraud detection using an ML model and business-defined rules with Amazon Fraud Detector: Part 3

AWS Machine Learning

In the first post of this three-part series, we presented a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. The following diagram represents each stage in a mortgage document fraud detection pipeline.

Training 109
article thumbnail

Customize business rules for intelligent document processing with human review and BI visualization

AWS Machine Learning

A massive amount of business documents are processed daily across industries. Many of these documents are paper-based, scanned into your system as images, or in an unstructured format like PDF. Each company may apply unique rules associated with its business background while processing these documents. Customize business rules.