Bimonthly    Since 1986
ISSN 1004-9037
Publication Details
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
 
   
      07 April 2023, Volume 38 Issue 2   
    Article

    EXPLORING THE FUTURE OF ROBOTIC PROCESS AUTOMATION IN THE DIGITAL WORKFORCE
    Kirti Nahak1; Akanksha Mishra2; Sushree Sasmita Dash3*
    Journal of Data Acquisition and Processing, 2023, 38 (2): 2446-2457 . 

    Abstract

    The future of Robotic Process Automation (RPA) in the digital workforce is a topic of great interest, as this technology has already shown immense potential to transform business operations. In this abstract, we will explore the future prospects of RPA in the digital workforce. First, we discuss the increased adoption of RPA technology, which is expected to become more accessible and affordable for small and medium-sized businesses. This increase in adoption will lead to a growing demand for professionals with RPA skills, including RPA developers, RPA architects, and RPA project managers. Next, we discuss the integration of RPA with other technologies such as Artificial Intelligence (AI) and Machine Learning (ML). This integration will enable RPA bots to perform more complex tasks, such as natural language processing and decision-making, making them more intelligent and efficient. We also discuss the potential for increased efficiency as RPA technology advances. RPA bots can perform tasks at a much faster rate than humans, resulting in faster turnaround times and increased productivity. Additionally, the accuracy of RPA bots is likely to improve, reducing the likelihood of errors and rework. Moreover, we examine the customization of RPA solutions to meet the specific needs of each organization. This customization will result in greater efficiency and cost savings, and as RPA technology becomes more intelligent, RPA solutions will become more adaptive, enabling them to learn and adjust to changing circumstances. Lastly, we highlight the importance of security as RPA technology becomes more advanced. The use of blockchain technology can enhance the security of RPA bots, providing a secure and transparent way to manage data and transactions. The future of RPA in the digital workforce looks promising, with increased adoption, integration with other technologies, increased efficiency, customized solutions, and enhanced security. As RPA technology continues to advance, we can expect to see more innovative use cases and applications in various industries. Organizations that embrace this technology are likely to gain a competitive advantage in the digital era.

    Keyword

    Robotic Process Automation; Artificial Intelligence; Efficiency; Customization; Security


    PDF Download (click here)

SCImago Journal & Country Rank

ISSN 1004-9037

         

Home
Editorial Board
Author Guidelines
Subscription
Journal of Data Acquisition and Processing
Institute of Computing Technology, Chinese Academy of Sciences
P.O. Box 2704, Beijing 100190 P.R. China
E-mail: info@sjcjycl.cn
 
  Copyright ©2015 JCST, All Rights Reserved