IBM Automation Document Processing

Overview

IBM Automation Document Processing (ADP) provides the capabilities that help you build an AI-powered data enrichment tool for document processing and storage. Manual document processing is a major obstacle for many enterprises, bringing digital transformation initiatives to a halt and demanding time and resources. With the amount of data and documents continuing to grow exponentially, it’s more important than ever to automate your document processing. IBM Automation Document Processing combines AI and deep learning with low code tooling to help you design, configure, and deploy a solution for document classification and data extraction. Labor-intensive manual processing of documents is instead handled by the document processing application. The document processing user can quickly catch and correct issues on documents or batches of documents that have already been categorized and extracted. And when the processing completes, your documents and your data are stored and ready for use by downstream applications.

Labs

Track 2 - Developer Role / Solution Implementation

• Automation Document Processing: Set up a capture solution in minutes with IBM Automation Document Processing. In this lab, you will configure your own capture project. You will learn how to use machine learning classification for your sample documents, define fields for extraction, create validation rules, and use deep learning (subject to environment configuration) to automate data extraction. Introduce the no- or low-code application building capabilities of Application Designer based on your Document Processing project to create a document processing end-user application. This application recognizes your documents, extracts your relevant data, and presents issues to fix before sending the documents to storage and using the data in other system

  This lab requires additional files that can be found in the Lab Data folder.

  Approximate Duration: 3-4 hours