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

    AN ANALYSIS OF ADVANCE BUSINESS PERFORMANCE THROUGH INTEGRATED ROBOTIC PROCESS AUTOMATION AND AI SOLUTIONS
    Ms. Nikita Pathrotkar 1, Ms. Shilpi Chaubey2*
    Journal of Data Acquisition and Processing, 2023, 38 (2): 713-722 . 

    Abstract

    This review examines the integration of Robotic Process Automation (RPA) and Artificial Intelligence (AI) in business processes to advance business performance. The article explores the benefits of RPA and AI integration, including increased efficiency, improved accuracy, and reduced costs. The use cases of RPA and AI in business process improvement are also discussed, highlighting the various applications of these technologies in automating repetitive tasks, improving decision-making, and enhancing customer experiences. Key considerations for implementing integrated RPA and AI solutions are outlined, including identifying goals and objectives, ensuring proper data management and compliance, evaluating costs and benefits, managing resistance to change, and remaining adaptable as new technologies and trends emerge. The challenges and limitations of RPA and AI integration are also discussed, including the need for skilled personnel, the potential for errors, and the risk of cybersecurity breaches. Finally, the review examines the future outlook and opportunities for RPA and AI in business performance improvement, including the use of advanced analytics, intelligent automation, collaborative robots, process mining, and augmented reality. The article concludes by providing recommendations for businesses looking to implement RPA and AI solutions, emphasizing the importance of careful planning, data management, and employee support. Overall, this review highlights the significant potential of RPA and AI integration in advancing business performance, while also recognizing the challenges and limitations that must be carefully considered. By understanding these factors and following best practices for implementation, businesses can effectively leverage RPA and AI solutions to improve their operations and remain competitive in the rapidly evolving business landscape..

    Keyword

    RPA; AI; Business Performance; Integration; Automation


    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