Designing Enterprise Data Architecture for AI-First Institutions

Srinivasa Kalyan Vangibhurathachhi

Designing Enterprise Data Architecture for AI-First Institutions

Authors

Srinivasa Kalyan Vangibhurathachhi

Keywords:

enterprise data architecture; artificial intelligence; AI-first institutions; data pipelines; feature store; MLOps; data governance; data-as-a-product

Abstract

Artificial intelligence has moved from isolated experiments to the operational core of manyorganisations, giving rise to a new category of institution in which AI drives decisions, products, and services rather than supplementing them

References

1)A. Mahendra Vardhan and S. Sridhar, "Determining False Positive Analysis of Software Vulnerabilities with Predefined Scan Rules using Random Forest Classifier and Decision Tree Technique," 2022 4th International Conference on Advances in Computing, Communication Control

and Networking (ICAC3N), Greater Noida, India, 2022, pp. 622-625, DOI: https://doi.org/10.1109/ICAC3N56670.2022.10074458

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Published

2024-01-15

How to Cite

Srinivasa Kalyan Vangibhurathachhi. (2024). Designing Enterprise Data Architecture for AI-First Institutions. Journal of Computational Analysis and Applications (JoCAAA), 32(1), 1558–1573. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5875