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In today's competitive business landscape, companies need to adopt innovative intelligent automation solutions to streamline their processes, cut costs, and drive revenue growth. Robotic Process Automation (RPA), Intelligent Document Processing (IDP), and Workflow Automation are key technologies when combined have transformed the way businesses operate. This comprehensive guide will cover the fundamentals of these technologies, provide key tips, recommendations, and strategies to help your organization maximize its potential and gain a competitive edge.
"RPA with UiPath: A Practical Guide" is a comprehensive guide to Robotic Process Automation (RPA) and UiPath, one of the most popular RPA platforms. This book provides an in-depth look at the benefits of RPA and how it can be used to improve business efficiency. It also covers the installation, setup, and use of UiPath Studio and Robot, including an overview of the UiPath Studio interface and its components. The book also covers techniques for automating web and desktop applications, including real-world examples of data entry, document processing, and web scraping. It also covers advanced UiPath features such as image and text recognition, custom activities, and error handling. Additionally, it covers best practices for designing and implementing RPA solutions, and scaling RPA in the enterprise. This book is ideal for business professionals looking to improve efficiency and reduce costs, as well as developers interested in learning how to automate complex tasks. It's also suitable for anyone who wants to learn more about RPA and UiPath and their application in real-world scenarios. The book is written in a clear and easy-to-understand style, making it accessible to readers of all levels of technical expertise.
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TESTIMONIALS: "One of the most important books of our times!" - Bernard Marr, "An essential reading for anybody who cares about the future of work" - Arianna Huffington, "This insightful and practical guidebook is instrumental for success in the Fourth Industrial Revolution" - Klaus Schwab, founder of the World Economic Forum, "An insightful exploration of Intelligent Automation" - Dr. Kai-Fu Lee, Author of NYT Bestseller "AI Superpowers", "This field guide is essential reading" - Gartner, "Masterful insight, this book is more relevant than ever" - HFS, "This book needed to be written" - Forrester. ABOUT THE BOOK: This is the first reference book on Intelligent Automation (IA). Also called Hyperautomation, it is one of the most recent trends in the field of artificial intelligence. IA is a cutting-edge combination of methods and technologies, involving people, organizations, machine learning, low-code platforms, robotic process automation (RPA), and more. This book is for everyone - whether you are an experienced practitioner, new to the topic, or simply interested in what the future holds for enterprises, work, life, and society as a whole. Key content of the book: - What is Intelligent Automation (IA)? Why has the use of IA been expanding so rapidly? What are the benefits it unleashes for employees, companies, customers, and society? - How have leading organizations been able to harness the full potential of IA, at scale, and generate massive efficiency gains in the range of 20 to 60%? - How can IA save 10+ million lives per year, triple our global budget for education, eliminate hunger, help protect our planet, or increase the resilience of society to pandemics and crises? What you will get from this book: - Get the lessons learned from 100+ IA transformation successes (and failures). - Benefit from the largest publicly available library of 500+ IA use cases by industry and by business function. - Gain access to insights garnered from 200+ IA industry experts. Read more about this book: www.intelligentautomationbook.com. WHY THIS BOOK? While many books have been published on AI, machine learning, or robotics, a comprehensive reference guidebook had never yet been written on the topic of IA. Also, it seemed essential to us to work towards establishing IA as a field, with its own frameworks, use cases, methods, and critical success factors.
1. Unlock the power of AI for your small business! "AI for Small Business Process Automation" will teach you innovative techniques and strategies for streamlining workflows. #AIforSmallBusiness #ProcessAutomation 2. Don't let inefficient workflows slow down your small business. Learn how to leverage AI for process automation with this essential book! #SmallBusiness #AI #WorkflowAutomation 3. Want to take your small business to the next level? Start by automating your processes with the help of AI! "AI for Small Business Process Automation" has got you covered. #BusinessAutomation #AIforSmallBusiness 4. Are you a small business owner looking for ways to improve efficiency and cut costs? Look no further than "AI for Small Business Process Automation"! #SmallBiz #ProcessEfficiency #CostSavings 5. Streamline your small business operations and get a competitive edge with the latest AI techniques and strategies. This book has everything you need to know about process automation! #CompetitiveEdge #WorkflowEfficiency #AI Small businesses face a range of challenges as they seek to streamline their workflows and operations. Complex, time-consuming processes can eat into a small business's time, resources, and budget, limiting growth and profitability. Fortunately, advances in Artificial Intelligence (AI) are making it easier for small business owners to automate repetitive and manual tasks, reduce errors, and improve efficiency. This book, 'AI for Small Business Process Automation: Techniques and Strategies for More Efficient Workflows', is a comprehensive guide that outlines the key tools, techniques, and strategies that small businesses can use to implement AI in their workflows. Whether you're a startup or an established small business, this book offers practical insights and step-by-step guidance on how to harness the power of AI to optimize your operations and grow your business. Throughout this book, you will learn the basics of AI and Machine Learning (ML), explore various use cases for AI implementation, discover best practices for data preparation and governance, and gain insights into how to choose the right AI tools and platforms for your needs and budget. You will also learn about the importance of human oversight to ensure ethical and effective AI deployment and how to monitor and evaluate the effectiveness of AI implementation. At the end of this book, you will have a clear understanding of how small businesses can leverage AI techniques and strategies for more efficient workflows and process automation. With the knowledge and insights provided in this book, you can optimize your operations, reduce costs, and drive growth. Whether you're looking to automate customer service, marketing, finance, or operations, this book provides the guidance you need to get started on your AI journey. MingHai Zheng is a writer based in Wuhan, China, who focuses on writing articles about workplace and management topics. He has written hundreds of articles on these topics and is dedicated to sharing his insights and experiences with others who are interested in improving their careers and their businesses.
This book constitutes the refereed proceedings of the 11th International Conference on Intelligent Data Processing, IDP 2016, held in Barcelona, Spain, in October 2016. The 11 revised full papers were carefully reviewed and selected from 52 submissions. The papers of this volume are organized in topical sections on machine learning theory with applications; intelligent data processing in life and social sciences; morphological and technological approaches to image analysis.
Bill Gates’ quote, “Banking is necessary, but banks are not,” showcases the opportunity for financial services digital transformation. The next transition from industry 4.0 to 5.0 will impact all sectors, including banking. It will combine information technology and automation, based on artificial intelligence, person-robot collaboration, and sustainability. It is time to analyze this transformation in banking deeply, so that the sector can adequately change to the ‘New Normal’ and a wholly modified banking model can be properly embedded in the business. This book presents a conceptual model of banking 5.0, detailing its implementation in processes, platforms, people, and partnerships of financial services organizations companies. The last part of the book is then dedicated to future developments. Of interest to academics, researchers, and professionals in banking, financial technology, and financial services, this book also includes business cases in financial services.
This is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives. Part V offers a guide to successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM and several commercial products. Lastly, Part VI takes a step back, reflecting on the material presented and the key open challenges. Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers.
This volume presents the 17th International Conference on Information Technology—New Generations (ITNG), and chronicles an annual event on state of the art technologies for digital information and communications. The application of advanced information technology to such domains as astronomy, biology, education, geosciences, security, and healthcare are among the themes explored by the ITNG proceedings. Visionary ideas, theoretical and experimental results, as well as prototypes, designs, and tools that help information flow to end users are of special interest. Specific topics include Machine Learning, Robotics, High Performance Computing, and Innovative Methods of Computing. The conference features keynote speakers; a best student contribution award, poster award, and service award; a technical open panel, and workshops/exhibits from industry, government, and academia.
The world is at the precipice of a disruptive new era in which the ability to track every behavior will predict our individual and collective futures. Using artificial intelligence to analyze trillions of once-invisible data (behaviors) across vast digital ecosystems, companies and governments now have unimagined insight into our every behavior. Although making private behaviors “visible” may conjure a sense of 1984, the reality is that a new kind of value will emerge that has the power to radically alter the way we view some of the most basic tenets of business. Concepts such as brand loyalty will be turned on their heads as companies now have to find ways to prove their loyalty to each individual consumer. In addition, the emergence of hyper-personalization and outcome-driven products may begin to solve some of the most pressing and protracted problems of our time. And it’s not just human beings whose behaviors are being captured and analyzed. AI-powered autonomous vehicles, smart devices, and intelligent machines will all exhibit behaviors. In this very near future every person and digital device will have its own cyberself—a digital twin that knows more about us than we know about ourselves. Farfetched? Only if you discount the enormous power of these new technologies, which will use the invisible patterns in all of our behaviors to develop an intimate understanding of what drives us, where we see value, and how we want to experience the world. Revealing the Invisible shows businesses how to predict consumer behavior based on customers’ prior tendencies, allowing a company to make better decisions regarding growth, products, and implementation.