Good Data, Governed Data, and the Right Data: The Three Pillars of a Successful AI Initiative

AI success is no longer determined by model complexity alone. In modern enterprise settings, the effectiveness of AI initiatives fundamentally depends on the quality, governance, and relevance of the data driving those models. This article introduces a data-centric framework comprising three essential pillars: Good Data, Governed Data, and the Right Data. These pillars serve as foundational components that determine the scalability, integrity, and value of AI solutions. Drawing on industry best practices and practical case implementations, we offer insights into how aligning these data pillars can enable organizations to build resilient, responsible, and results-oriented AI ecosystems.

Authors

Publication Details

Journal
International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
Published
2025-07-11
DOI
https://doi.org/10.37082/ijirmps.v13.i4.232675
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Good Data, Governed Data, and the Right Data: The Three Pillars of a Successful AI Initiative

Amit Jha
International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
Big Data and Business Intelligence
article

Good Data, Governed Data, and the Right Data: The Three Pillars of a Successful AI Initiative

Amit Jha
article en

Abstract

AI success is no longer determined by model complexity alone. In modern enterprise settings, the effectiveness of AI initiatives fundamentally depends on the quality, governance, and relevance of the data driving those models. This article introduces a data-centric framework comprising three essential pillars: Good Data, Governed Data, and the Right Data. These pillars serve as foundational components that determine the scalability, integrity, and value of AI solutions. Drawing on industry best practices and practical case implementations, we offer insights into how aligning these data pillars can enable organizations to build resilient, responsible, and results-oriented AI ecosystems.

International Journal of Innovative Research in Engineering & Multidisciplinary Physical SciencesVol. 13(4)
Openalex Percentile: Top 65%
Big Data and Business Intelligence
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