AI-integrated SaaS platforms: exploring the future of automated product management workflows

Authors

  • Kalyan Kilaru, Gaurav Mishra and Ramya Krishna Reddy Vuyyuru

Keywords:

AI-integrated SaaS, automated product management, workflow efficiency, predictive analytics, process automation, decision support, implementation challenges.

Abstract

The integration of artificial intelligence (AI) with Software-as-a-Service (SaaS) platforms is revolutionizing product management workflows, offering transformative potential for businesses across industries. This study explores the impact of AI-integrated SaaS platforms on automated product management, focusing on adoption rates, workflow efficiency, user satisfaction, and implementation challenges.

References

Agapito, G., & Cannataro, M. (2023). An overview on the challenges and limitations using cloud computing in healthcare corporations. Big Data and Cognitive Computing, 7(2), 68.

AlQahtani, A., & Taher, F. (2023, December). AI implementations in cloud-based sign-in logs to detect brute force attack attempts. In 4th International Conference on Distributed Sensing and Intelligent Systems (ICDSIS 2023) (Vol. 2023, pp. 245-254). IET.

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Published

2024-12-10

How to Cite

Kalyan Kilaru, Gaurav Mishra and Ramya Krishna Reddy Vuyyuru. (2024). AI-integrated SaaS platforms: exploring the future of automated product management workflows . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 2282–2295. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2082

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Section

Articles