Intelligent Robotic Process Automation Development Vulnerability And Applications

Intelligent Robotic Process Automation: Development, Vulnerability and Applications

Organizations constantly seek ways to streamline operations and enhance productivity in today's rapidly evolving business landscape. However, the manual execution of routine tasks remains a significant bottleneck, consuming valuable time and resources. Robotic Process Automation (RPA) offers a compelling solution by automating these tasks, freeing human capital to focus on more strategic endeavors. Despite its potential, many professionals need a comprehensive understanding of RPA's intricacies and integration with advanced technologies like AI and the Cloud. Intelligent Robotic Process Automation: Development, Vulnerability and Applications bridges this knowledge gap by providing a thorough exploration of RPA's development, testing, and scalability. By offering practical insights into integrating RPA with AI and Cloud technologies, the book equips readers with the knowledge to enhance automation capabilities and efficiency. Moreover, it delves into the selection and utilization of RPA development tools, ensuring optimal performance and mitigating system vulnerabilities.

INTELLIGENT ROBOTIC PROCESS AUTOMATION

Confluence of Artificial Intelligence and Robotic Process Automation

This book provides a detailed insight into Robotic Process Automation (RPA) technologies linked with AI that will help organizations implement Industry 4.0 procedures. RPA tools enhance their functionality by incorporating AI objectives, such as use of artificial neural network algorithms, text mining techniques, and natural language processing techniques for information extraction and the subsequent process of optimization and forecasting scenarios for the purpose of improving an organization's operational and business processes. The target readers of this book are researchers, professors, graduate students, scientists, policymakers, professionals, and developers working in the IT and ITeS sectors, i.e. people who are working on emerging technologies. This book also provides insights and decision support tools necessary for executives concerned with different industrial and organizational automation-centric jobs, knowledge dissemination, information, and policy development for automation in different educational, government, and non-government organizations. This book is of special interest to college and university educators who teach AI, machine learning, blockchain, business intelligence, cognitive intelligence, and brain intelligence courses in different capacities.