Become an expert at developing, designing, and managing intelligent automation solutions in Blue Prism
Key Features

Learn how to develop and design complex IPA solutions in Blue Prism
Leverage machine learning to accelerate productions running at high scale and volume
Discover how development in IA differs from RPA while working on real-world IA use cases
Purchase of the print or Kindle book includes a free PDF eBook

Book Description

Intelligent Automation (IA) stands out as an impactful enterprise technology, shaping the future of work. As the world grapples with challenges like labor shortages and an aging workforce, the spotlight is on IA as a transformative solution.

This book is your hands-on guide to integrating machine learning with Blue Prism (BP).

You'll learn how to design IA solutions using Work Queues, Session Variables, and more, and understand the criteria for evaluating ML for automation to create proper solution design. Once you’ve learned how to create reusable IA templates from best practices, you’ll see how they reduce the time needed to bring a solution into production. The book then takes you through the BP Control Room and management aspects of an IA solution, introducing you to the unique management concerns IA presents compared to RPA, due to the uncertainty introduced by model predictions and a constantly evolving regulatory environment that restricts how IA can be used. The book highlights IA’s impact on the wider automation context through user permissions, security, deployments, and BP's Robotic Operating Model, and concludes by recreating a real-world intelligent automation processes in BP. This book is not just practical; it’s also enriched by real-life experience and the insights distilled from the authors’ research at MIT, which examined over 70 IA use cases.
What you will learn

Harness the integration of Blue Prism with machine learning to make predictions
Explore concepts that guide to the design of maintainable IA solutions
Understand how IA impacts Control Room operations
Implement best practices for managing the risks associated with IA
Develop reusable templates to kickstart IA development
Uncover the design principles behind real-life IA examples used in production

Who this book is for

This book is for RPA developers looking to get hands-on with integrating machine learning predictions into Blue Prism processes. No prior model building experience is required, as the focus is on using ML in an automated manner. Developers who want to understand how to design Blue Prism solutions for intelligent automation, as well as RPA process controllers and COE management will benefit from this book. Anyone involved in managing the uncertainty and risks introduced by machine learning in the automation program will find this guide insightful.
Table of Contents

Machine Learning as a Service: the Digital Exchange and Web APIs
Predicting from Command Prompt and PowerShell
Code Stages
Reviewing Predictions and Human in the Loop
IA Process and Work Queue Designs for HITL
Reusable IA Components
IA Templates and Utility – IA Object
The LAM, User Roles, and MTE
ML Deployments and Database Operations
IA's Impact on the Robotic Operating Model
Processing Refunds
Power Service Interruptions
Other Intelligent Blue Prism Products and Future IA Trends
Appendix