Data governance is no longer optional in the GenAI era

By Jitender Punia, Principal Architect – Data Analytics To The New

Data governance has transformed from being a nice-to-have discipline to a necessity for organizations committed to implementing AI in a secure manner in the era of generative artificial intelligence (GenAI). The quality, integrity and security of data have become as important as the algorithms themselves, as organisations and governments are increasingly adopting GenAI platforms to promote productivity and decision-making.

GenAI systems, such as large language models and autonomous agents, are developed with tremendous amounts of data. These models identify patterns and offer outcomes based on the data they are provided. The AI will only show these flaws if the data is messy, biased, incomplete or untracked. Without competent management, organizations could generate inaccurate outcomes, risking security breaches, face legal penalties and compromising client trust.

Why Governance Matters Now More Than Ever
Traditionally, data governance revolved around structured ...