Investment Strategies for AI-Enabled Distributed Systems: Business Development through Intelligent Indexing and Cloud ML

Authors

  • Sushant Mehta, Claire Rich, Rohith Narasimhamurthy

Keywords:

AI-enabled distributed systems, intelligent indexing, cloud machine learning, business development, investment strategies, digital transformation, operational efficiency.

Abstract

The rapid evolution of artificial intelligence (AI) and distributed computing has redefinedhow modern enterprises approach digital transformation. This study investigates the impactof investment strategies in AI-enabled distributed systems, with a particular focus on
intelligent indexing and cloud-based machine learning (ML) as catalysts for business

References

Ali, A. R. A. R., Saravanan, K., Abirami, B. B., Pandi, V. S., Aroulanandam, V. V., & Parthiban, S. (2024, December). Enhancing Cloud Security with AI: Developing Robust, Scalable Solutions for Threat Mitigation and Data Protection in Cloud Platforms. In 2024 International Conference on Sustainable Communication Networks and Application (ICSCNA) (pp. 614-620). IEEE.

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Published

2025-05-28

How to Cite

Sushant Mehta, Claire Rich, Rohith Narasimhamurthy. (2025). Investment Strategies for AI-Enabled Distributed Systems: Business Development through Intelligent Indexing and Cloud ML . Journal of Computational Analysis and Applications (JoCAAA), 34(5), 351–364. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3319

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Section

Articles