[PDF] Hyperautomation For Next Generation Industries eBook

Author : Rajesh Kumar Dhanaraj
Publisher : John Wiley & Sons
Page : 357 pages
File Size : 25,10 MB
Release : 2024-10-15
Category : Technology & Engineering
ISBN : 1394185820

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This book is essential for anyone looking to understand how hyperautomation can revolutionize businesses by simplifying operations, reducing errors, and creating more intelligent and adaptable workplaces through the use of automation technologies such as artificial intelligence, machine learning, and robotic process automation. The use of automation technologies to simplify any and every activity conceivable in a business, allowing repeated operations to operate without manual intervention, is known as hyperautomation. Hyperautomation transforms current and old processes and equipment by utilizing artificial intelligence, machine learning, and robotic process automation. This digital transformation may assist a business in gaining cost and resource efficiency, allowing it to prosper in a more competitive environment. With the advancement of automation technologies, hyperautomation is becoming more prevalent. Companies are shifting their methods to create more human-centered and intelligent workplaces. This change has ushered in a new era for organizations that rely on technology and automation tools to stay competitive. Businesses may move beyond technology’s distinct advantages to genuine digital agility and scale adaptability when all forms of automation operate together in close partnership. Automation tools must be simple to incorporate into the current technological stack while not requiring too much effort from IT. A platform must be able to plug and play with a wide range of technologies to achieve hyperautomation. The interdependence of automation technologies is a property that is connected to hyperautomation. Hyperautomation saves individuals time and money by reducing errors. Hyperautomation has the potential to create a workplace that is intelligent, adaptable, and capable of making quick, accurate decisions based on data and insights. Model recognition is used to determine what to do next and to optimize processes with the least amount of human engagement possible.

Author : Sam T Nelson
Publisher : Independently Published
Page : 0 pages
File Size : 19,99 MB
Release : 2024-03-02
Category : Business & Economics
ISBN :

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In the fast-paced world of technology, hyperautomation emerges as a beacon of innovation, promising unprecedented levels of efficiency, productivity, and transformation across industries. This comprehensive guide delves into the heart of hyperautomation, unraveling its intricacies and exploring its vast potential to reshape the way businesses operate in the 21st century. From robotic process automation (RPA) to artificial intelligence (AI), from machine learning to advanced analytics, this book offers a roadmap to understanding the fundamental components of hyperautomation. Through real-world examples and case studies, readers will gain insights into how leading organizations are leveraging hyperautomation to streamline operations, enhance customer experiences, and drive competitive advantage. Navigating through the complexities of implementation, the book provides practical strategies and best practices for harnessing the power of hyperautomation effectively. It addresses key considerations such as data governance, cybersecurity, and workforce transformation, ensuring that readers are equipped with the knowledge and tools to overcome challenges and seize opportunities in the hyperautomated era. Whether you are a business leader seeking to unlock new efficiencies, an entrepreneur looking to disrupt traditional models, or a technology enthusiast eager to explore the cutting edge of innovation, Hyperautomation: Transforming Industries in the Age of AI and Robotics is your definitive guide to understanding and embracing the transformative power of hyperautomation.

Author : Sachin Sahgal
Publisher : Packt Publishing Ltd
Page : 302 pages
File Size : 12,69 MB
Release : 2023-06-14
Category : Computers
ISBN : 1803244003

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Drive digital transformation by increasing efficiency and ROI for your organization as a robotic process automation (RPA) solution architect Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn architectural design and analysis of enterprise-wide RPA systems with real-world use cases Explore tips and best practices to deliver scalable business outcomes through RPA implementation Overcome challenges in intelligent automation, data, and security while building RPA solutions Book Description RPA solution architects play an important role in the automation journey and initiatives within the organization. However, the implementation process is quite complex and daunting at times. RPA Solution Architect's Handbook is a playbook for solution architects looking to build well-designed and scalable RPA solutions. You'll begin by understanding the different roles, responsibilities, and interactions between cross-functional teams. Then, you'll learn about the pillars of a good design: stability, maintainability, scalability, and resilience, helping you develop a process design document, solution design document, SIT/UAT scripts, and wireframes. You'll also learn how to design reusable components for faster, cheaper, and better RPA implementation, and design and develop best practices for module decoupling, handling garbage collection, and exception handling. At the end of the book, you'll explore the concepts of privacy, security, reporting automated processes, analytics, and taking preventive action to keep the bots healthy. By the end of this book, you'll be well equipped to undertake a complete RPA process from design to implementation efficiently. What you will learn Understand the architectural considerations for stability, maintainability, and resilience for effective RPA solution design Interact with cross-functional teams for seamless RPA implementation Write effective RPA documentation, non-functional requirements, and effective UAT scripts Demo RPA solutions, receive feedback, and triage additional requirements based on complexity, time, and cost Design considerations for intelligent automation and learn about RPA as a service Explore best practices for decoupling, handling garbage collection, and exception handling Who this book is for This book is for RPA developers, RPA Sr. developers, or RPA analysts looking to become RPA solution architects. If you are an RPA solution architect, then this book can help you advance your understanding and become more efficient. Familiarity with RPA documentation like SDD, and PDD along with hands-on experience with either one or more RPA tools will be helpful but is not mandatory.

Author : Matt Calkins
Publisher : Bookbaby
Page : 166 pages
File Size : 20,99 MB
Release : 2020-11-20
Category :
ISBN : 9781735732909

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HYPERAUTOMATION is a collection of expert essays on low-code development and the future of business process automation. In each chapter, an academic, analyst, implementer, or end-user examines different aspects of low-code and automation in the enterprise, clarifying both value and barriers through personal experiences and insights. With contributions from: Dr. George Westerman, MIT - Neil Ward-Dutton, IDC - Lakshmi N, Tata Consultancy Services - Sidney Fernandes & Alice Wei, University of South Florida - Lisa Heneghan, KPMG - Chris Skinner, FinTech expert - John R. Rymer, Forrester (Emeritus) - Isaac Sacolick, StarCIO - Darren Blake, Bexley Neighbourhood Care - Rob Galbraith, InsureTech expert - Ron Tolido, Capgemini - Michael Beckley, Appian All proceeds from the sale of this book will be donated to Black Girls Code, an organization providing young girls of color opportunities to learn in-demand skills in technology and computer programming.

Author : Andreas François Vermeulen
Publisher : Apress
Page : 652 pages
File Size : 11,63 MB
Release : 2019-11-30
Category : Computers
ISBN : 1484253167

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Understand the industrialization of machine learning (ML) and take the first steps toward identifying and generating the transformational disruptors of artificial intelligence (AI). You will learn to apply ML to data lakes in various industries, supplying data professionals with the advanced skills required to handle the future of data engineering and data science. Data lakes currently generated by worldwide industrialized business activities are projected to reach 35 zettabytes (ZB) as the Fourth Industrial Revolution produces an exponential increase of volume, velocity, variety, variability, veracity, visualization, and value. Industrialization of ML evolves from AI and studying pattern recognition against the increasingly unstructured resource stored in data lakes. Industrial Machine Learning supplies advanced, yet practical examples in different industries, including finance, public safety, health care, transportation, manufactory, supply chain, 3D printing, education, research, and data science. The book covers: supervised learning, unsupervised learning, reinforcement learning, evolutionary computing principles, soft robotics disruptors, and hard robotics disruptors. What You Will Learn Generate and identify transformational disruptors of artificial intelligence (AI) Understand the field of machine learning (ML) and apply it to handle big data and process the data lakes in your environment Hone the skills required to handle the future of data engineering and data science Who This Book Is For Intermediate to expert level professionals in the fields of data science, data engineering, machine learning, and data management

Author : Mik Kersten
Publisher : IT Revolution
Page : 237 pages
File Size : 47,34 MB
Release : 2018-11-20
Category : Business & Economics
ISBN : 1942788401

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As tech giants and startups disrupt every market, those who master large-scale software delivery will define the economic landscape of the 21st century, just as the masters of mass production defined the landscape in the 20th. Unfortunately, business and technology leaders are woefully ill-equipped to solve the problems posed by digital transformation. At the current rate of disruption, half of S&P 500 companies will be replaced in the next ten years. A new approach is needed. In Project to Product, Value Stream Network pioneer and technology business leader Dr. Mik Kersten introduces the Flow Framework—a new way of seeing, measuring, and managing software delivery. The Flow Framework will enable your company’s evolution from project-oriented dinosaur to product-centric innovator that thrives in the Age of Software. If you’re driving your organization’s transformation at any level, this is the book for you.

Author : Bernard Marr
Publisher : John Wiley & Sons
Page : 254 pages
File Size : 23,72 MB
Release : 2010-03-10
Category : Business & Economics
ISBN : 0470662204

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Today's most successful companies are Intelligent Companies that use the best available data to inform their decision making. This is called Evidence-Based Management and is one of the fastest growing business trends of our times. Intelligent Companies bring together tools such as Business Intelligence, Analytics, Key Performance Indicators, Balanced Scorecards, Management Reporting and Strategic Decision Making to generate real competitive advantages. As information and data volumes grow at explosive rates, the challenges of managing this information is turning into a losing battle for most companies and they end up drowning in data while thirsting for insights. This is made worse by the severe skills shortage in analytics, data presentation and communication. This latest book by best-selling management expert Bernard Marr will equip you with a set of powerful skills that are vital for successful managers now and in the future. Increase your market value by gaining essential skills that are in high demand but in short supply. Loaded with practical step-by-step guidance, simple tools and real life examples of how leading organizations such as Google, CocaCola, Capital One, Saatchi & Saatchi, Tesco, Yahoo, as well as Government Departments and Agencies have put the principles into practice. The five steps to more intelligent decision making are: Step 1: More intelligent strategies by identifying strategic priorities and agreeing your real information needs Step 2: More intelligent data by creating relevant and meaningful performance indicators and qualitative management information linked back to your strategic information needs Step 3: More intelligent insights by using good evidence to test and prove ideas and by analysing the data to gain robust and reliable insights Step 4: More intelligent communication by creating informative and engaging management information packs and dashboards that provide the essential information, packaged in an easy-to-read way Step 5: More intelligent decision making by fostering an evidence-based culture of turning information into actionable knowledge and real decisions "Bernard Marr did it again! This outstanding and practical book will help your company become more intelligent and more successful. Marr takes the fields of business-intelligence, analytics and scorecarding to bring them together into a powerful and easy-to-follow 5-step framework. The Intelligent Company is THE must-read book of our times." Bruno Aziza, Co-author of best-selling book Drive Business Performance and Worldwide Strategy Lead, Microsoft Business Intelligence "Book after book Bernard Marr is redefining the fundamentals of good business management. The Intelligent Company is a must read in these changing times and a reference you will want on your desk every day!" Gabriel Bellenger, Accenture Strategy