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

Authors: Amit Jha

DOI: https://doi.org/10.37082/IJIRMPS.v13.i4.232675

Short DOI: https://doi.org/g9wp47

Country: United States

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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.

Keywords: Artificial Intelligence, Data Quality, Data Governance, Relevant Data, Enterprise AI, Machine Learning, AI Readiness Framework, AI Performance, Ethical AI.

Paper Id: 232675

Published On: 2025-07-11

Published In: Volume 13, Issue 4, July-August 2025

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