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.
Edited by:
Rajesh Kumar Dhanaraj (Galgotias University Greater Noida India),
M. Nalini (Sri Sairam Engineering College,
Chennai,
Tamil Nadu,
India),
A. Daniel (Galgotias University,
Greater Noida,
Uttar Pradesh,
India),
Ali Kashif Bashir (Manchester Metropolitan University,
UK),
Balamurugan Balusamy (Shiv Nadar University,
Delhi-NCR Campus,
Noida,
India)
Imprint: Wiley-Scrivener
Country of Publication: United States
Weight: 816g
ISBN: 9781394185825
ISBN 10: 1394185820
Pages: 352
Publication Date: 11 September 2024
Audience:
Professional and scholarly
,
Undergraduate
Format: Hardback
Publisher's Status: Active
Preface xv 1 Journey To Hyperautomation: The Pathway of Today's Industries to Next Generation Industries 1 T. Kavitha, S. Saraswathi and G. Senbagavalli 1.1 Introduction: What is Hyperautomation (HA)? 2 1.2 Technologies Associated with HA 8 1.3 Potential Benefits/Abilities of HA 18 1.4 Challenges in Hyperautomation 19 1.5 Applications 21 1.6 Case Studies 24 1.7 Conclusion 31 2 Software Robot for Next Generation Industries Using RPA 35 S.V. Juno Bella Gracia, J. Godwin Ponsam, S. Sheeba Rachel and R. Gayathiri 2.1 Introduction 36 2.2 Evolution of Industries 37 2.3 Robotic Process Automation 39 2.4 Case Studies 45 2.5 Debunking RPA Rumors 50 2.6 Conclusion 52 3 Artificial Intelligence-Based Hyperautomation for Smart Factory Process Automation 55 Balasubramaniam S., A. Prasanth, K. Satheesh Kumar and Seifedine Kadry 3.1 Introduction 56 3.2 Hyperautomation 60 3.3 Hyperautomation-Based Industrial Ecosystem 69 3.4 Artificial Intelligence 72 3.5 Hyperautomation Use Cases and Examples in Industry/Factory Processes 76 3.6 Artificial Intelligence-Based Hyperautomation for Smart Factory Process Automation 81 3.7 Conclusion 85 4 Intelligent Assistants Using Natural Language Processing for Hyperautomation 91 M. Nalini, Rajesh Kumar Dhanraj, Balamurugan Balusamy, Abirami, V. and Kavya, K. 4.1 Introduction 92 4.2 Phases of NLP 97 4.3 NLP Application in Web/Android Services 108 4.4 Role of NLP in Internet Protocol 114 5 Digital Twins for Hyperautomation for Next Generation 127 V. Divya, A. Prasanth, K. K. Devi Sowndarya and Chien Thang Pham 5.1 Introduction 128 5.2 Hyperautomation Requirement 129 5.3 Literature Review 129 5.4 Hyperautomation Methodology 131 5.5 Background of Hyperautomation 132 5.6 Hyperautomation Enhancement 133 5.7 Association of Versatile Technologies with Hyperautomation 134 5.8 Hyperautomation Workflow 136 5.9 Hyperautomation Domains 138 5.10 Path to Hyperautomation 140 5.11 Automation Process Categories 140 5.12 Sophistication of the Automation 141 5.13 Technologies in Hyperautomation 143 5.14 Technological Ecosystem of Hyperautomation 146 5.15 Future Scope of Hyperautomation 147 5.16 Conclusion 147 6 IQ Bot for Intelligent Document Process and Mail Processing 153 Vinora A., Lloyds E., Nancy Deborah R., Sivakarthi G. and Mohanad Alfiras 6.1 Introduction to IQ Bot 154 6.2 Understanding the Internal Operations of the IQ Bot 155 7 Bot-Based Process Triggering by Incoming E-mails and Documents 177 M. Nalini, Rajesh Kumar Dhanraj, Balamurugan Balusamy, Abirami, V., Kavya, K. and Aishwaryalakshmi, G. 7.1 Introduction of Bot 178 7.2 Bot Triggering by Incoming E-mail and Incoming Document 182 7.3 Types of Bots 186 7.4 Various Other Bot Triggers 195 7.5 Applications of Bot Trigger 198 8 Hyperautomation for Automating the Customer Service Operations 207 Nancy Deborah R., Alwyn Rajiv S., Vinora A. and Sivakarthi G. 8.1 Introduction 207 8.2 Advantages of Hyperautomation 211 8.3 Issues With Hyperautomation 212 8.4 Use Cases of Hyperautomation 213 8.5 Customer Service Hyperautomation 214 8.6 Customer Support Hyperautomation: Where We are Now and Where We are Headed 216 8.7 Benefits of Customer Service Hyperautomation 220 8.8 Reforming the Future of Customer Service Operation through Hyperautomation 222 8.9 Case Study: Hyperautomation in Customer Onboarding 224 8.10 Conclusion 227 9 Applications of Hyperautomation in Finance and Banking Industries 229 S. Arunarani, A. Prasanth, N. Pushpalatha and Mariya Ouaissa 9.1 Introduction 230 9.2 History of Hyperautomation 231 9.3 Literature Review 233 9.4 The Role of Hyperautomation in Banking and Finance 243 9.5 Dedicated Workflow Process for Hyperautomation 247 9.6 Case Study 249 9.7 Future of Hyperautomation 252 9.8 Conclusion 253 10 Application of Hyperautomation in COVID-19 Analysis and Management 255 P. Ashok, Pon Bharathi A., S. Rathika and Venkatesh Ramamurthy 10.1 Introduction 256 10.2 Literature Review 257 10.3 Summary 274 11 Application of Hyperautomation in Insurance and Retail Industries 277 A. Vinora, E. Lloyds, R. Nancy Deborah and Sivakarthi G. 12 Application of Hyperautomation in Predictive Maintenance--A Technical Analysis 299 Sunith Babu L., Hemanth Kumar J., Madhusudhan B., Nitish Kumar V. and Sujitha R. 12.1 Introduction to Hyperautomation 300 12.2 Predictive Maintenance: An Overview 302 12.3 Application of Hyperautomation in Predictive Maintenance 306 12.4 Conclusion 316 References 318 Index 325
Rajesh Kumar Dhanaraj, PhD, is a professor at the School of Computing Science and Engineering at Galgotias University, Greater Noida, India. He has contributed more than 25 books on various technologies, 21 patents, and 53 articles and papers in various refereed journals and international conferences, as well as contributed chapters to books. He is a senior member of the Institute of Electrical and Electronics Engineers and is a member of the Computer Science Teacher Association and International Association of Engineers. He is also an expert advisory panel member of Texas Instruments Inc. M. Nalini, PhD, is a professor at the Sri Sairam Engineering College, Chennai, Tamil Nadu, India. She has more than 14 years of experience working in teaching and research. Dr. Nalini is the author of more than two books and over 25 international journals and conferences. She has also received invitations to address international conferences as a keynote speaker and session chair and is a member of the Institute of Electrical and Electronics Engineers and a life member of the Indian Society for Technical Education. A. Daniel, PhD, is an associate professor at the School of Computing Science and Engineering in Galgotias University, Greater Noida, Uttar Pradesh, India. He has published several articles in reputed international journals and is a member of the Institute of Electrical and Electronics Engineers, Association of Computing Machinery, Institute for Educational Research and Publication, International Association of Engineers, and the Computer Science Teachers Association. Ali Kashif Bashir, PhD, is affiliated with the School of Computing and Mathematics, Manchester Metropolitan University, United Kingdom. Additionally, he is an adjunct professor for the School of Electrical Engineering and Computer Science, National University of Science and Technology, Islamabad, an honorary professor at the School of Information and Communication Engineering, University of Electronics Science and Technology of China, and a chief advisor at the Visual Intelligence Research Center, UESTC. He is the author of over 100 peer-reviewed articles and has served as a chair for several conferences and workshops, delivering several invited and keynote talks. Balamurugan Balusamy, PhD, is an associate dean to students at Shiv Nadar University at the Delhi-NCR Campus in Noida, India. He has authored/edited more than 80 books, as well as over 200 contributions to international journals and conferences.
