Hyperautomation & Cloud RPA
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V4I2P114Keywords:
Hyperautomation, Cloud RPA, Intelligent Automation, Digital Workforce, AI-driven Automation, Process Orchestration, Cognitive RPA, Cloud Scalability, Low-code Automation, Business TransformationAbstract
Hyperautomation and Cloud Robotic Process Automation (RPA) are the two technologies that have a great impact on the digital operations, process optimisation, and enterprise resilience of an organisation. Hyperautomation, which basically extends traditional automation by overwoven RPA with AI, ML, NLP, and advanced analytics, empowers companies to automate those complicated end-to-end workflows that require human judgement and intervention. In tandem, Cloud RPA magnifies these functions by delivering automation as a scalable, flexible, and less costly service in cloud ecosystems; thus, enterprises are less loaded with heavy infrastructure, and they are assured of a smooth deployment in networks. This document delves into two major enquiries: the first one being how hyperautomation changes the enterprise processes fundamentally by implementing smart, adaptable processes and the second is about Cloud RPA and what scalability it offers given the fact that it is different from on-premises solutions. The method used in this paper is a combination of conceptual analysis and real-world case studies that present theoretical insights followed by practical applications that demonstrate how organizations in different sectors—from finance to healthcare—are using these technologies to make their operations simpler. The results from the study emphasise the impact of the work disappearing on efficiency when the level of manual work is decreased, the optimization of the expenditure made possible by the use of the cloud due to the elasticity of the resources, the strengthening of the capacity to recover from disturbances in that the organization can now react quickly and the improvement in the compliance that is due to the fact that the use of AI-driven process management makes it easier to audit
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