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: 80

United States | Information Technology | Volume 14 Issue 5, May 2025 | Pages: 134 - 138


The Future of AI-Native SaaS Products on AWS: Architectures, Challenges, and Opportunities

Ganesh Shankar Sargam

Abstract: The rapid evolution of Artificial Intelligence (AI) is transforming Software-as-a-Service (SaaS) offerings, enabling intelligent, automated solutions. This paper examines architectural patterns for AI-native SaaS on Amazon Web Services (AWS), key challenges in model deployment and maintenance, and emerging opportunities in generative AI and edge computing. We present reference architectures using AWS AI/ML services and discuss best practices for multi-tenancy, cost optimization, and compliance.

Keywords: AI-native SaaS, AWS, cloud computing, machine learning, multi-tenant architectures

Rate This Article!

Received Comments

Rohit J Rating: 10/10 😊
2025-05-06
It demonstrates critical analysis and a deep understanding of the subject matter, enhancing the overall credibility of the evaluation.
Rasna K Rating: 10/10 😊
2025-05-06
The review is thorough and wellstructured, offering valuable insights into the papers strengths and areas for improvement.
Mahesh Sirmlla Rating: 10/10 😊
2025-05-06
Nice content,are clear, objective, and maintain a professional tone, and impactful, Great Please share the AIrelated journal article
Jyotsna S Rating: 10/10 😊
2025-05-06
The paper attempts to tackle an important AI problem but lacks sufficient depth in both theoretical grounding and experimental validation.
Ram Nair Rating: 10/10 😊
2025-05-06
The paper addresses a relevant AI problem and presents promising results, though certain aspects of the methodology and evaluation could be improved.

Top