Intelligent Automation with Blue Prism: Design intelligent automation solutions using best practices with RPA and machine learning

Become an expert at developing, designing, and managing Intelligent Process Automation solutions in Blue Prism.

Key Features

• Learn how to develop and design complex IPA solutions in Blue Prism
• Apply your knowledge by building IPA process templates, that will speed up your development time
• Consolidate your knowledge by re-creating real-world IPA use cases

Book Description

Intelligent Process Automation (IPA) will become one of the most impactful technologies in the workplace, and a key part of the future of work. The world is looking towards IPA as a solution to some of its largest challenges: labor shortages and an aging workforce.

This book is your hands-on guide on how to integrate Machine Learning with Blue Prism (BP). You’ll learn how to design IPA solutions using Work Queues, Session Variables, Locks and more. You’ll also learn how and when to choose between different design elements. From these best practices, we’ll create reusable IPA templates that greatly reduce the time needed to bring IPA into production.

Next, we’ll go through the BP Control Room and management aspects of an IPA solution. IPA has many unique management concerns compared to RPA, due to the uncertainty introduced by model predictions and a constantly evolving regulatory environment that restricts how IPA can be used. IPA’s impact on the wider automation context is discussed through user permissions, security, deployments and BP’s Robotic Operating Model.

Finally, these concepts are all tied together through the re-creation of real Intelligent Automation processes in BP. This book is not only practical, it’s also informed by real-life experience and the authors’ research at MIT, which examined 70+ IPA use cases.

What you will learn

• Learn how to connect Blue Prism with Machine Learning to make predictions
• Explore techniques to design maintainable IPA solutions
• Understand how IPA impacts Control Room operations
• Discover best practices for managing the risks of IPA based on the author’s research at MIT
• Develop reusable templates to kickstart Intelligent Process development
• Learn from real life IPA examples currently used in production

Who This Book Is For

This book is for RPA developers wanting hands-on guidance on how to integrate Machine Learning predictions into Blue Prism processes. Machine Learning experience is not required. Developers will also learn the key elements behind designing Blue Prism solutions for Intelligent Automation.

RPA process controllers and COE management will also benefit from reading this book. Machine Learning adds complexity and risks to the automation program due to the uncertainty of the predictions. This book explains how this uncertainty can be better managed.

Table of Contents

1. Introduction
2. Machine Learning as a Service: The Digital Exchange and Web Services
3. Predicting from the Command Line and Powershell
4. Code Stages
5. Verifying Predictions
6. Work Queue Design
7. Environment Variables, Session Variables and Environment Locking
8. Creating an Intelligent Automation Template
9. User Roles, Security and MTE
10. Deployments
11. The Robotic Operating Model
12. Processing Refunds
13. Power Service Interruptions
14. Other Intelligent Blue Prism Products