Publisher description
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 DescriptionIntelligent 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, its also informed by real-life experience and the authors research at MIT, which examined 70+ IPA use cases.What you will learn Who this book is forThis 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
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Intelligent Automation with Blue Prism
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