The Next Generation Intelligent Automation: Hyperautomation

Authors

  • Somayya Madakam Assistant Professor Information Technology FORE School of Management, New Delhi (India)
  • Rajesh M Holmukhe Associate Professor in Electrical Engineering, College of Engineering, Bharati Vidyapeeth (Deemed to be) University, Pune (India).
  • Rajeev Kumar Revulagadda Research Scholar at Economics & Finance, National Institute of Industrial Engineering (NITIE) Mumbai (India)

DOI:

https://doi.org/10.4301/S1807-1775202219009

Keywords:

Hyperautomation, Hyper-automation, Intelligent Automation, RPA, Robotic Process Automation

Abstract

One of the buzzwords in the technological world is “Hyperautomation”. Hyperautomation is the new technological phenomenon in which it can bring intelligent automation processes using Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML) and other technologies. It has a good amount of business applications; that is why many tech giants and start-ups are putting huge investments to reap the fruits of Hyperautomation. The data was collected from different secondary sources from 1-4-2020 to 31-7-2021. The rationale of this conceptual manuscript is to explain the definitions, concepts, technologies and models behind Hyperautomation. This study also emphasis in-depth benefits of hyper automation specifically in Banking & Finance sector. Moreover, the study also presents some of the industry test cases

Author Biographies

Somayya Madakam, Assistant Professor Information Technology FORE School of Management, New Delhi (India)

Dr. Somayya Madakam is currently working as an Assistant Professor in IT @ FORE School of Management, New Delhi. He worked for TISS (Mumbai), circa six years as a Systems Analyst-cum-Programmer. He completed his Fellow Program in Management from NITIE (Mumbai) on the thesis “IoT Technologies in Smart Cities: An Exploratory Study in India”. During this period, he presented his academic research work in both Inter/national conferences including at Bangkok, Dubai, Alicante, Fairfax and Porto. He also published more than 25 articles together with journals, book chapters and posters. He bagged more than 1500 citations. He also qualified for UGC-JRF. He is an evangelist on “The New Language of Publications”.

Rajesh M Holmukhe, Associate Professor in Electrical Engineering, College of Engineering, Bharati Vidyapeeth (Deemed to be) University, Pune (India).

Dr. Rajesh M. Holmukhe is working as an Associate Professor in Electrical Engineering Department of Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune (India). He has done his Fellow Program in Management (FPM) form National Institute of Industrial Engineering (NITIE), Mumbai (India). He has academic and industrial experience of 23 years in interdisciplinary/ multidisciplinary fields. His area of work includes Electrical Engineering & Industrial Engineering. He has published papers in various research journals, conferences and books in India & abroad. He has obtained few patents in India.

Rajeev Kumar Revulagadda, Research Scholar at Economics & Finance, National Institute of Industrial Engineering (NITIE) Mumbai (India)

Mr. Rajeev K. Revulagadda is currently a doctoral fellow in the area of Finance & Accounting at National Institute of Industrial Engineering (NITIE), Mumbai. His research interests align with microfinance risk management and mission drift. He is working on economic developmental aspects in finance, which includes financial inclusion, the standard of living, livelihood and eradicating poverty. Prior to this, he worked for 8 months as a research assistant at the Center for Communication Studies (CCS) in NITIE (Mumbai). Moreover, he pursued B.Tech (Electrical and Electronics Engineering) at Swarnandhra Institute of Technology affiliated to Jawaharlal Nehru Tecnological University (JNTU), Kakinada (Andhra Pradesh) and followed by MBA (Finance) from Sri Krishnadevaraya University (Andhra Pradesh).

References

Abid, M. E., Austin, T. L., Fox, D. C., & Hussain, S. S. (2014). Drones, uavs, and rpas: an analysis of a modern technology.

Aratrika Dutta. ICICI Bank Gets Innovative, Deploys Robotic Arms to Sort Notes. (June 25, 2021) URL accessed https://www.analyticsinsight.net/icici-bankgets-innovative-deploys-robotic-arms-to-sortnotes/.

Banu, S., & Patil, S. D. (2020, October). An Intelligent Web App Chatbot. In 2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) (pp. 309-315). IEEE.

Big Data. In Journal of Physics: Conference Series (Vol. 1744, No. 2, p. 022096). IOP Publishing.

Bornet, P., Barkin, I., & Wirtz, J. (2021). Intelligent Automation: Welcome to The World ff Hyperautomation: Learn How to Harness Artificial Intelligence to Boost Business & Make Our World More Human.

Calkins, Matt; Ward-Dutton, Neil; Westerman, George; Fernandes, Sidney; N, Lakshmi; Wei, Alice; Heneghan, Lisa; Skinner, Chris; Blake, Darren (2020- 11-20). Hyperautomation. Bookbaby. ISBN 978-1-7357329-0-9.

Cem Dilmegani. Top 11 Hyperautomation Examples in 2021. (July 5, 2021). Accessed dated on 22/07/2021 from the https://research.aimultiple.com/hyperautomati on-examples/.

Chaudhuri, A., Mandaviya, K., Badelia, P., & Ghosh, S. K. (2017). Summary and Future Research. In Optical Character Recognition Systems for Different Languages with Soft Computing (pp. 241-245). Springer, Cham.

Chen, Y. (2021, February). Research on Convolutional Neural Network Image Recognition Algorithm Based on Computer Big Data. In Journal of Physics: Conference Series (Vol. 1744, No. 2, p. 022096). IOP Publishing.

Chowdhury, G. G. (2003). Natural language processing. Annual review of information science and technology, 37(1), 51-89.

Doguc, O. (2020). Robot process automation (RPA) and its future. In Handbook of Research on Strategic Fit and Design in Business Ecosystems (pp. 469-492). IGI Global.

El Naqa, I., & Murphy, M. J. (2015). What is machine learning?. In machine learning in radiation oncology (pp. 3-11). Springer, Cham.

Hofmann, P., Samp, C., & Urbach, N. (2020). Robotic process automation. Electronic Markets, 30(1), 99-106.

Islam, N., Islam, Z., & Noor, N. (2017). A survey on optical character recognition system. arXiv preprint arXiv:1710.05703.

Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255-260.

Kaelble, S. (2018). Robotic Process Automation For Dummies, NICE Special Edition.

Kandray, D. (2010). Programmable automation technologies. Industrial Press.

Koubâa, A. (Ed.). (2020). Robot Operating System (ROS): The Complete Reference (Volume 5) (Vol. 895). Springer Nature.

Kroll, C., Bujak, A., Darius, V., Enders, W., & Esser, M. (2016). Robotic Process Automation-Robots conquer business processes in back offices. Capgemini Consulting, 1-48.

LASSO-RODRIGUEZ, G., & WINKLER, K. (2020). Hyperautomation to fulfil jobs rather than executing tasks: the BPM manager robot vs human case. Romanian Journal of Information Technology and Automatic Control, 30(3), 7-22.

Machado, J. P., Notare, M. R., Costa, S. A., Diverio, T. A., & Menezes, P. B. (2001, February). Hyper-Automation System Applied to Geometry Demonstration Environment. In International Conference on Computer Aided Systems Theory (pp. 457-468). Springer, Berlin, Heidelberg.

Madakam, S., Holmukhe, R. M., & Jaiswal, D. K. (2019). The future digital work force: robotic process automation (RPA). JISTEM-Journal of Information Systems and Technology Management, 16.

Mani, N., & Srinivasan, B. (1997, October). Application of artificial neural network model for optical character recognition. In 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation (Vol. 3, pp. 2517-2520). IEEE.

Marzieh Nabi. Could Hyperautomation Be a Name for AI Plus RPA? (20 January 2020). Accessed dated on 23/7/2021 from.

https://www.automationanywhere.com/company/blog/rpa-thought-leadership/couldhyperautomation-be-a-name-for-ai-plus-rpa.

McIver, D., Lengnick-Hall, M. L., & Lengnick-Hall, C. A. (2018). A strategic approach to workforce analytics: Integrating science and agility. Business Horizons, 61(3), 397-407.

Остроух, А. В., & Колбасин, А. М. (2020). Гиперавтоматизация предприятий по производству строительных материалов и конструкций. Промышленные АСУ и контроллеры, (12), 8-17.

Park, S. C. (2018). The Fourth Industrial Revolution and implications for innovative cluster policies. AI & SOCIETY, 33(3), 433-445.

Robertson, J., & Parsons, C. (2017). What's Next?. In Building the Network of the Future (pp. 401-406). Chapman and Hall/CRC.

Rozga, S. (2018). Language Understanding Intelligent Service (LUIS). In Practical Bot Development (pp. 47-128). Apress, Berkeley, CA.

Shavlik, J. W., Dietterich, T., & Dietterich, T. G. (Eds.). (1990). Readings in machine learning. Morgan Kaufmann.

Srivastava, A., Kumar, A., & Damle, M. (2020). Hyperautomation in Transforming Underwriting Operation in the Life Insurance Industry. PalArch's Journal of Archaeology of Egypt/ Egyptology, 17(6), 4928-4944.

Steve Crowe. Softbank Robotics Europe cutting workforce 40% in shake-up. (June 24, 2021). Accessed URL on 25/7/2021

https://www.therobotreport.com/softbankrobotics-europe-cutting-workforce-40-inshake-up/

Stoudt-Hansen, S. (2019). Predicts 2020: barriers fall as technology adoption grows. A Gartner Trend Insight Report, Boston.

Tarafdar, M., & Beath, C. M. (2018). Wipro limited: developing a cognitive DNA.

Taulli, T. (2020). The Robotic Process Automation Handbook: A Guide to Implementing RPA Systems. Apress.

Tripathi, A. M. (2018). Learning Robotic Process Automation: Create Software robots and automate business processes with the leading RPA tool–UiPath. Packt Publishing Ltd.

Zyubin, V. E. (2007, April). Hyper-automaton: A model of control algorithms. In 2007 Siberian Conference on Control and Communications (pp. 51-57). IEEE.

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Published

2022-03-01

How to Cite

Madakam, S., Holmukhe, R. M., & Revulagadda, R. K. (2022). The Next Generation Intelligent Automation: Hyperautomation. Journal of Information Systems and Technology Management, 19. https://doi.org/10.4301/S1807-1775202219009

Issue

Vol. 19 (2022)

Section

Articles

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