Build an end-to-end business solution in the cognitive automation lifecycle and explore UiPath Document Understanding, UiPath AI Center, and Druid Key FeaturesExplore out-of-the-box (OOTB) AI Models in UiPathLearn how to deploy, manage, and continuously improve machine learning models using UiPath AI CenterDeploy UiPath-integrated chatbots and master UiPath Document UnderstandingBook Description Artificial intelligence (AI) enables enterprises to optimize business processes that are probabilistic, highly variable, and require cognitive abilities with unstructured data. Many believe there is a steep learning curve with AI, however, the goal of our book is to lower the barrier to using AI. This practical guide to AI with UiPath will help RPA developers and tech-savvy business users learn how to incorporate cognitive abilities into business process optimization. With the hands-on approach of this book, you'll quickly be on your way to implementing cognitive automation to solve everyday business problems. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this book will help you understand the power of AI and give you an overview of the relevant out-of-the-box models. You'll learn about cognitive AI in the context of RPA, the basics of machine learning, and how to apply cognitive automation within the development lifecycle. You'll then put your skills to test by building three use cases with UiPath Document Understanding, UiPath AI Center, and Druid. By the end of this AI book, you'll be able to build UiPath automations with the cognitive capabilities of intelligent document processing, machine learning, and chatbots, while understanding the development lifecycle. What you will learnDiscover how to bridge the gap between RPA and cognitive automationUnderstand how to configure, deploy, and maintain ML models in UiPathExplore OOTB models to manage documents, chats, emails, and morePrepare test data and test cases for user acceptance testing (UAT)Build a UiPath automation to act upon Druid responsesFind out how to connect custom models to RPAWho this book is for AI Engineers and RPA developers who want to upskill and deploy out-of-the-box models using UiPath's AI capabilities will find this guide useful. A basic understanding of robotic process automation and machine learning will be beneficial but not mandatory to get started with this UiPath book.

A practical syllabus-based UiPath Associate certification guide to confidently passing your UiPath RPA Associate certification examination, covering real-world business cases, mock tests, and more Key Features • Get certified successfully with this detailed syllabus-oriented examination guide • Work with real-world business cases that will help you grasp RPA topics better using practical examples • Practice with quizzes and mock exam papers with answers to prepare for the exam confidently Book Description UiPath is the most popular vendor in the Robotic Process Automation (RPA) industry. If you're an RPA enthusiast or citizen developer who wants to succeed in the industry, achieving this certification can help you get accredited and ready for real-world challenges using UiPath. UiPath Associate Certification Guide offers complete, up-to-date coverage of the UiPath RPA Associate certification exam to help you pass on the first attempt and get certified. The book is written in a clear, succinct way with self-assessment questions, quizzes with answers at the end of each chapter, exam tips, and mock exams with detailed answers and explanations. You'll start by getting to grips with the basic concepts of UiPath RPA, and then progress to an in-depth discussion of all the concepts required for Associate certification. Finally, you'll develop UiPath skills by gaining the required knowledge and implement these skills using sample business cases. By the end of this UiPath book, you'll have covered everything you need to pass the exam, gained the knowledge you need to work on real-world case studies, and learned how to apply the various concepts to build enterprise-level use cases. What you will learn • Get to grips with the basic concepts of UiPath RPA • Equip yourself with every resource required to pass the Associate exam on the first attempt • Gain the ability to apply what you've learned using real-world use cases • Work on different use cases and test your knowledge by taking quizzes • Get a feel for the real exam with practice questions and mock exams • Understand the concepts used in building enterprise-level use cases Who this book is for This RPA book is for those in technical and semi-technical roles such as citizen RPA developers, junior RPA developers, RPA developers, solution architects, business analysts, system administrators, college or university students and graduates, and UiPath and partner employees in pre-sales, services, support, and so on. If you are looking to get certified and meet the industry standard with the largest RPA vendor, then this book is for you.

Learn RPA by building business solutions such as ERP and CRM automation, software robots, and intelligent process automation from scratch Key FeaturesUse popular RPA tools Automation Anywhere A2019 and UiPath, for real-world task automationBuild automation solutions for domains such as System Administration, Finance, HR, Supply Chain, and Customer RelationsExtend your RPA capabilities by implementing Intelligent process automation with APIs and AIBook Description Robotic Process automation helps businesses to automate monotonous tasks that can be performed by machines. This project-based guide will help you progress through easy to more advanced RPA projects. You'll learn the principles of RPA and how to architect solutions to meet the demands of business automation, along with exploring the most popular RPA tools - UiPath and Automation Anywhere. In the first part, you'll learn how to use UiPath by building a simple helpdesk ticket system. You'll then automate CRM systems by integrating Excel data with UiPath. After this, the book will guide you through building an AI-based social media moderator using Google Cloud Vision API. In the second part, you'll learn about Automation Anywhere's latest Cloud RPA platform (A2019) by creating projects such as an automated ERP administration system, an AI bot for order and invoice processing, and an automated emergency notification system for employees. Later, you'll get hands-on with advanced RPA tasks such as invoking APIs, before covering complex concepts such as Artificial Intelligence (AI) and machine learning in automation to take your understanding of RPA to the next level. By the end of the book, you'll have a solid foundation in RPA with experience in building real-world projects. What you will learnExplore RPA principles, techniques, and tools using an example-driven approachUnderstand the basics of UiPath by building a helpdesk ticket generation systemAutomate read and write operations from Excel in a CRM system using UiPathBuild an AI-based social media moderator platform using Google Cloud Vision API with UiPathExplore how to use Automation Anywhere by building a simple sales order processing systemBuild an automated employee emergency reporting system using Automation AnywhereTest your knowledge of building an automated workflow through fun exercisesWho this book is for This RPA book is for enterprise application developers, software developers, business analysts, or any professional who wants to implement RPA across various domains of the business. The book assumes some understanding of enterprise systems. Computer programming experience will also be beneficial.

We live in exhilarating times where we already experience the disruptive and profound impact of a smart technology revolution with AI as one of the key exponential technologies that seems to be on track to change how we live, work, play, interact, and relate to one another in an all-inclusive and wide-ranging fashion. Besides the impact of the Smart Technology Era that is felt in almost every industry in every country and entire systems of production, management, and governance being transformed, we also see also our current civilization on a problematic trajectory where we struggle with sense-making, meaning-making, wealth gaps, job loss, catastrophic risks, discrimination, data abuse, bias, human agency, dependence lock-in, institutional decay, as well as disorder and destabilization of society. It is a time where we need visionary leadership, sense-making, wisdom, and practical actions to ensure that humanity and our civilization is moving in the right direction as we work towards unlocking the tremendous potential of AI and smart technologies. Democratizing Artificial Intelligence to Benefit Everyone does not only take us on a holistic sense-making journey and lays a foundation to synthesize a more balanced view and better understanding of AI, its applications, its benefits, its risks, its limitations, its progress, and its likely future paths, but also taps into Dr Jacques Ludik's wealth of experience, knowledge, and sense-making ability as a smart technology entrepreneur and founder of multiple AI companies, AI expert, AI ecosystem builder, and award-winning AI Leader with a Ph.D. in Artificial Intelligence and three decades of experience in AI and its applications in multiple industries across the globe. This book also synthesizes, assimilates, and acts as a filter on a wide spectrum of thought leadership, information, ideas, and research to enable as many people as possible to not only interpret and make sense of this, but also participate in helping shape a better future for ourselves, our children and humanity going forward. It helps us to more accurately understand where we are heading given the current dynamics on a global and national economic and political level as well as across ideologies and industries. Specific solutions are also shared to address AI's potential negative impacts, designing AI for social good and beneficial outcomes, building human-compatible AI that is ethical and trustworthy, addressing bias and discrimination, and the skills and competencies needed for a human-centric AI-driven workplace. Not only is the book aimed to help with the drive towards democratizing AI and its applications to maximize the beneficial outcomes for humanity, but Dr Ludik is specifically arguing for a more decentralized beneficial human-centric future where AI and its benefits can be democratized to as many people as possible. He specifically examines what it means to be human and living meaningful in the 21st century and share some ideas for reshaping our civilization for beneficial outcomes as well as various potential outcomes for the future of civilization. Dr Jacques Ludik also proposes a Massive Transformative Purpose for Humanity and associated goals that complement the United Nations' 2030 vision and sustainable development goals to help shape a beneficial human-centric future in a decentralized hyperconnected world. As a practical step towards a building block in support of this purpose and goals, he also introduces an initiative and an invitation to people around globe to participate in the development, deployment and use of a decentralized, human-centric, and user-controlled AI-driven super platform called Sapiens . To help shape this better future we need a collective, integrated, and comprehensive response that involves all stakeholders of the global system of governing, from the private and public sectors to civil society and academia.

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

Artificial intelligence (AI) stands out as a transformational technology of the digital age. Its practical applications are growing very rapidly. One of the chief reasons AI applications are attaining prominence, is in its design to learn continuously, from real-world use and experience, and its capability to improve its performance. It is no wonder that the applications of AI span from complex high-technology equipment manufacturing to personalized exclusive recommendations to end-users. Many deployments of AI software, given its continuous learning need, require computation platforms that are resource intense, and have sustained connectivity and perpetual power through central electrical grid. In order to harvest the benefits of AI revolution to all of humanity, traditional AI software development paradigms must be upgraded to function effectively in environments that have resource constraints, small form factor computational devices with limited power, devices with intermittent or no connectivity and/or powered by non-perpetual source or battery power. The aim this book is to prepare current and future software engineering teams with the skills and tools to fully utilize AI capabilities in resource-constrained devices. The book introduces essential AI concepts from the perspectives of full-scale software development with emphasis on creating niche Blue Ocean small form factored computational environment products.