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This book brings together experts from research and practice. It includes the design of innovative Robot Process Automation (RPA) concepts, the discussion of related research fields (e.g., Artificial Intelligence, AI), the evaluation of existing software products, and findings from real-life implementation projects. Similar to the substitution of physical work in manufacturing (blue collar automation), Robotic Process Automation tries to substitute intellectual work in office and administration processes with software robots (white-collar automation). The starting point for the development of RPA was the observation that – despite the use of process-oriented enterprise systems (such as ERP, CRM and BPM systems) – additional manual activities are still indispensable today. In the RPA approach, these manual activities are learned and automated by software robots, either by defining rules or by observing manual activities. RPA is related to business process management, machine learning, and artificial intelligence. Tools for RPA originated from dedicated stand-alone software. Today, RPA functionalities are also integrated into elaborated process management suites. From a conceptual perspective, RPA can be structured into input components (sensors in the wide sense), an intelligence center, and output components (actuators in the wide sense). From a strategic perspective, the impact of RPA can be related to the support of existing tasks, the complete substitution of human activities, and the innovation of processes as well as business models. At present, high expectations are related to the use of RPA in the improvement of software-supported business processes. Manual activities are learned and automated by software robots that interact with existing applications via the presentation layer. In combination with artificial intelligence (AI) as well as innovative interfaces (e. g., voice recognition) RPA creates a novel level of automation for office and administration processes. Its benefit potential reaches a return on investment (ROI) up-to 800% that is documented in various case studies.
Many believe in a vision of the future where almost all work is automated. A first step already underway involves Robotic Process Automation (RPA) technology, which firms use to automate standardized computer work. The larger step that needs to be taken towards this vision lies in connecting RPA to AI, so that Machine Learning (ML) algorithms can be used to automate human intelligence and decision making in companies. Management research surrounding the concept of Intelligent Automation (IA) is nascent and spans multiple domains. This thesis consolidates the fragmented research landscape through a Systematic Literature Review to address four research questions: 1) What use cases are IA fulfilling? 2) Which ML algorithms and technologies are employed? 3) What risks are associated with IA? and 4) What risk mitigation techniques are there? The findings paint a picture of what is needed to advance the value that IA delivers to firms and shore up professional practices. Results show that the bulk (66%) of cases centered on document processing and chatbots. ML models, tended to be uninterpretable, posing transparency and risk challenges. The systematic coding of 77 key sources yielded 36 risks that fell into eight clusters that are explored in depth. Corresponding risk mitigation measures covered far less ground, leaving many risks unaddressed. The risk registry derived in this thesis offers a starting point for a structured approach to managing emergent risks necessary for IA to deliver on its promise to improve work.
While Robotic Process Automation (RPA) has been around for about 20 years, it has hit an inflection point because of the convergence of cloud computing, big data and AI. This book shows you how to leverage RPA effectively in your company to automate repetitive and rules-based processes, such as scheduling, inputting/transferring data, cut and paste, filling out forms, and search. Using practical aspects of implementing the technology (based on case studies and industry best practices), you’ll see how companies have been able to realize substantial ROI (Return On Investment) with their implementations, such as by lessening the need for hiring or outsourcing. By understanding the core concepts of RPA, you’ll also see that the technology significantly increases compliance – leading to fewer issues with regulations – and minimizes costly errors. RPA software revenues have recently soared by over 60 percent, which is the fastest ramp in the tech industry, and they are expected to exceed $1 billion by the end of 2019. It is generally seamless with legacy IT environments, making it easier for companies to pursue a strategy of digital transformation and can even be a gateway to AI. The Robotic Process Automation Handbook puts everything you need to know into one place to be a part of this wave. What You'll Learn Develop the right strategy and planDeal with resistance and fears from employeesTake an in-depth look at the leading RPA systems, including where they are most effective, the risks and the costsEvaluate an RPA system Who This Book Is For IT specialists and managers at mid-to-large companies
Document from the year 2020 in the subject Computer Science - Commercial Information Technology, , language: English, abstract: Numerous tasks in a company follow a structured process and could be automated. However, they occur too rarely to justify the automation effort. Robotic Process Automation (RPA) aims to change this: By having a robot emulate the input on an existing user interface, no changes are required in the target application. Automation is possible in a timely and cost-effective manner. So far, many companies have had positive experiences with RPA. However, there are also a number of failed projects. What factors determine success and failure when introducing an RPA system? Björn Freivogel explains how the introduction of robotic process automation succeeds. He first gives an overview of the topic of RPA and presents the features and functionality of RPA systems. Based on this, he examines which properties suitable processes should have and how important it is to systematically select process candidates. In his publication, Freivogel not only summarizes the theoretical basics, but also gives practical recommendations for the introduction of RPA in the company. From the content: - robotic desktop automation; - agility; - Agile methodology; - business process management system; - BPMS
Welcome to the Comprehensive Guide to Robotic Process Automation (RPA). In today's rapidly evolving digital landscape, organizations are increasingly turning to automation technologies to streamline processes, improve efficiency, and drive digital transformation. Among these technologies, Robotic Process Automation (RPA) stands out as a powerful tool for automating repetitive, rule-based tasks, freeing up human resources to focus on more strategic and value-added activities. This comprehensive guide aims to provide you with a deep understanding of RPA and equip you with the knowledge and strategies needed for successful RPA implementation. Whether you are a business leader, an IT professional, or an individual looking to explore the world of automation, this guide will serve as a valuable resource to navigate the complexities of RPA. In this guide, we will start by laying the foundation with an introduction to RPA, its benefits, and common misconceptions. We will then guide you through the process of assessing process suitability, selecting the right RPA tool, and building a strong foundation for RPA implementation. You will learn about establishing a dedicated RPA team, developing a roadmap, and setting realistic goals and expectations. As we delve into the core chapters, we will explore RPA design principles, process flow, decision points, and efficient automation workflows. We will address important considerations such as error handling and exception management, data and system integration, and managing security and access controls. Furthermore, this guide will provide insights into RPA implementation best practices, including creating reusable automation components, ensuring version control and documentation, and implementing proper testing and debugging processes. We will also explore the crucial aspects of governance, control, change management, and the role of RPA in business process reengineering. To enhance your understanding of RPA, we will delve into advanced topics such as cognitive automation, artificial intelligence (AI) integration, and leveraging machine learning and natural language processing capabilities. We will discuss scaling RPA implementations, managing multiple automation projects, and overcoming challenges in large-scale deployments. Throughout this guide, we will share real-world case studies, highlighting successful RPA implementations and extracting key learnings from each. These case studies will provide practical insights into how organizations have leveraged RPA to transform their operations, achieve cost savings, and enhance customer experiences. Lastly, we will explore the future of RPA and the emerging trends that will shape the landscape of automation. We will discuss evolving capabilities, the impact of AI and machine learning on RPA, and predictions for the future of automation. With each chapter, you will find tips, recommendations, and strategies to address common challenges, mitigate risks, and drive successful RPA adoption within your organization. We understand that every organization is unique, and the journey to RPA implementation will vary. However, by following the guidance provided in this guide, you will be equipped with the necessary knowledge and tools to embark on a successful RPA journey. We hope that this comprehensive guide serves as a valuable resource and reference throughout your RPA implementation. So let's dive in and unlock the transformative power of Robotic Process Automation!
For your robotic process automation (RPA) program to be successful, you need to follow a general framework and governance model. This book covers, in detail, what they should look like and how to adapt them to your organization. Introducing Robotic Process Automation to Your Organization is structured to enable you, a novice to RPA, to successfully implement an RPA program at your company. RPA is rapidly growing in use, but is only starting to be taught at a university level. Many mid-level managers will be tasked with introducing an RPA program at their organizations as senior management learns of its efficacy, but will be unfamiliar with how to do so. This book provides you with the skills and information you need to make an informed decision. ​For decades, there has been much discussion about the fast pace of technology, the rapidly changing technology environment, and the need for companies to be on the cutting edge to remain competitive or even relevant. In this ever-changing environment, there is a need to know what can be done in terms of current processes, here and now, that will increase efficiency, benefit customers, and improve profitability. One option is RPA. This book includes information to assist you in getting the required buy-in and identifying the first few processes for automation. A structure for identifying opportunities on an ongoing basis is detailed, along with concepts that must be considered for solution design and deployment. Throughout the book there are several "pause and consider" statements to help you think about how principles pertain to your organization. Additionally, there are tips included that offer short, concrete suggestions on how to help implement the particular step being discussed. What You Will Learn Know the benefits of robotic process automation (RPA) Understand the limitations of RPA Ask the right questions to determine whether a process is a good candidate for automation Obtain buy-in from skeptics at the senior and middle manager levels, and from line workers Be familiar with the structure required for success Who This Book is For Middle managers who have either identified the need for robotic process automation (RPA) in their organization or have been directed by senior management to explore the possibility of introducing RPA to their organization; managers at all levels who hear about RPA, either through conferences, professional associations, or industry publications, and want to know more; students of business and technology who wish to broaden their understanding of important current trends.
This book examines real-world implementations of service automation technologies using Robotic Process Automation and Cognitive Automation tools. This newest, detailed research finds that RPA adoptions are accelerating, maturing, and scaling in global enterprise. The research covers multiple industries, applications, and shared services, and uses case studies to establish action principles and how to mitigate automation risks. The book also examines the first enterprise-worthy cognitive automation tools that use machine-learning algorithms to process big data, often in natural language form, and analyses three major detailed cases and the conditions for effective implementation. The book includes interviews with major clients, providers and analysts, and a detailed analysis of the automation and future of work debate. The book provides a compelling and incisive, evidence-based perspective on the direction and management of service automation, taking trends through to 2025. Automation technologies like RPA, CA, and the newest Blockchain technologies are found to transform and elevate human work rather than eliminate it.
This book provides a practice-oriented overview of the necessary prerequisites, the mode of operation, and the individual steps for the successful introduction of Robotic Process Automation (RPA). In addition to theoretical basics, practical examples from controlling and accounting illustrate the enormous potential of this technology....