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


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India | Engineering Science | Volume 11 Issue 12, December 2022 | Pages: 1315 - 1318


Accelerating Application Delivery: Leveraging BPM Tools with Generative AI and Robotics

Ashok Reddy Annaram

Abstract: In today's rapidly evolving digital landscape, the ability to deliver high - quality applications quickly and efficiently is crucial for organizations striving to stay competitive. Traditional software development approaches often face challenges in meeting the demands for speed, scalability, and innovation. However, the integration of Business Process Management (BPM) tools with generative Artificial Intelligence (AI) and robotics offers a transformative solution. This article explores how the synergy between BPM, generative AI, and robotics is revolutionizing the application delivery process. By automating repetitive tasks, optimizing workflows, and enabling autonomous code generation, these advanced tools empower organizations to accelerate application delivery while maintaining quality standards. Through detailed analysis, case studies, and real - world examples, this article provides insights into the benefits and implications of leveraging BPM tools with generative AI and robotics for faster application delivery in today's digital era.

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

How to Cite?: Ashok Reddy Annaram, "Accelerating Application Delivery: Leveraging BPM Tools with Generative AI and Robotics", Volume 11 Issue 12, December 2022, International Journal of Science and Research (IJSR), Pages: 1315-1318, https://www.ijsr.net/getabstract.php?paperid=SR24402103440, DOI: https://dx.doi.org/10.21275/SR24402103440


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