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)

Automation Anywhere – IQ Bot

The IQ Bot offering from Automation Anywhere uses machine learning to extract structured or semi-structured data from documents.

IQ Bot uses AI technologies such as machine learning, computer vision, and NLP to learn and extract information from business documents and emails.

The main features of IQ Bot are as follows:

  • Classification: IQ Bot uses AI-based learning algorithms to recognize and classify content.
  • Digitization: It does not rely on traditional OCR. Instead, it uses the latest computer vision technologies to intelligently digitize documents.
  • Continuous learning: It learns from user feedback and validation, thereby improving its classification and extraction accuracy over time.

There are five key phases of the IQ Bot process:

  • Create a learning instance
  • Review and update field mapping
  • Load documents to classify and extract data
  • Output the extracted data
  • Validate forms with issues

And if necessary, retrain the learning instance...