Snowflake and Domain-AI Real-Time Intelligence for Enterprise Data Warehousing
Abstract
This platform uses special agents to give instant access to information that has been pulled from control data very quickly, and therefore, allowing companies to reduce the amount of time it takes to move data to and from different Systems, as well as for the Extract-Transform-Load (ETL) processes associated with those different systems. Integration with Snowflake Cortex AI will give businesses the ability to take their business data warehouse and move it to a Cloud-native environment, allowing them to achieve insight from their business data warehouse much quicker than with traditional methods; in fact, the speed at which they will get Insight is 99.6 times quicker than traditional methods. Some of the key features of this platform include: storage-compute separation; real-time streaming of snowpipe; and zero-copy cloning. This platform uses the python ETL pipelines to detect anomalies in customer's data and create a custom domain agents that will enhance any process to do with Procure-to-Pay. Also, the cortex analyst has the capability of converting to SQL utilizing natural language. Practical experience from the creation of this platform will provide companies with greater cross-sell efficiencies, significant increases in analyst's productivity and the detection of Fraud. The paper presents Best Practices to ensure a Stable, Scalable process through Role-based Access Control (RBAC) and Serverless Computing. By 2026, the paper anticipates the development of explainable AI compliant with government regulations for regulated industries, readily made possible by the advancement in multi-modal agents and federated learning
Article Information
Journal |
International Journal of Science, Research and Technology |
|---|---|
Volume (Issue) |
Vol. 9 No. 2 (2026): International Journal of Science, Research and Technology (IJSRAT) |
DOI |
|
Pages |
363-372 |
Published |
March 20, 2026 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Venkat Sunil Kumar Indurthy (%2026). Snowflake and Domain-AI Real-Time Intelligence for Enterprise Data Warehousing. International Journal of Science, Research and Technology , Vol. 9 No. 2 (2026): International Journal of Science, Research and Technology (IJSRAT) , pp. 363-372. https://doi.org/10.15662/IJSRAT.2023.0605007 |
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