Book Image

Robotic Process Automation Projects

By : Nandan Mullakara, Arun Kumar Asokan
Book Image

Robotic Process Automation Projects

By: Nandan Mullakara, Arun Kumar Asokan

Overview of this book

Robotic Process automation helps businesses to automate monotonous tasks that can be performed by machines. This project-based guide will help you progress through easy to more advanced RPA projects. You’ll learn the principles of RPA and how to architect solutions to meet the demands of business automation, along with exploring the most popular RPA tools - UiPath and Automation Anywhere. In the first part, you’ll learn how to use UiPath by building a simple helpdesk ticket system. You’ll then automate CRM systems by integrating Excel data with UiPath. After this, the book will guide you through building an AI-based social media moderator using Google Cloud Vision API. In the second part, you’ll learn about Automation Anywhere's latest Cloud RPA platform (A2019) by creating projects such as an automated ERP administration system, an AI bot for order and invoice processing, and an automated emergency notification system for employees. Later, you’ll get hands-on with advanced RPA tasks such as invoking APIs, before covering complex concepts such as Artificial Intelligence (AI) and machine learning in automation to take your understanding of RPA to the next level. By the end of the book, you’ll have a solid foundation in RPA with experience in building real-world projects.
Table of Contents (14 chapters)
Using AI and RPA for Invoice Processing

In this chapter, we will complete our first project with Automation Anywhere RPA and Artificial Intelligence (AI). 

We will use the Automation Anywhere IQ Bot to convert invoice data from an unstructured format into a structured format that we can use for automation. IQ Bot is an intelligent document processing platform from Automation Anywhere that can be used to classify, extract, and validate content from documents. IQ Bot allows us to process unstructured data using AI technologies such as computer vision, Natural Language Processing (NLP), Machine Learning (ML), and text classification. 

More than 80% to 90% of data in organizations is placed in documents and forms. So, processing documents is one of the common requirements for most automation use cases.

We will learn about basic document processing and more...