International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 0 | Views: 32

Informative Article | Engineering Science | India | Volume 11 Issue 8, August 2022

Enhancing Business Process Management with Artificial Intelligence and Machine Learning

Ashok Reddy Annaram [8]

Abstract: In today's rapidly evolving business landscape, organizations are constantly seeking innovative ways to optimize their operations and drive efficiency. Business Process Management (BPM) tools have emerged as critical enablers for streamlining workflows and enhancing productivity. However, to stay competitive in the digital age, BPM tools must evolve beyond basic automation and embrace advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML). This article explores the potential of integrating AI and ML capabilities into BPM tools, highlighting the benefits, challenges, and best practices for leveraging these technologies to drive process excellence and business transformation.

Keywords: Process Automation, Predictive Analytics, Cognitive Insights, Adaptive Process Management, Efficiency, Accuracy, Personalized Experiences, Continuous Improvement, Data Quality, Algorithm Bias, Integration Complexity, Skills and Talent Gap, Security, Privacy

Edition: Volume 11 Issue 8, August 2022,

Pages: 1501 - 1503

How to Download this Article?

Type Your Valid Email Address below to Receive the Article PDF Link

Verification Code will appear in 2 Seconds ... Wait