In the ever-evolving landscape of data management and utilization, it's crucial to address the prevailing myth that data governance and master data management (MDM) are disciplines strictly reserved ...

Launching an AI initiative without a robust data strategy and governance framework is a risk many organizations underestimate. Most AI projects often stall, deliver poor...Read More The post Can Your ...

As artificial intelligence adoption accelerates, so do concerns around effective data governance — and nowhere is that truer ...

Data governance is a critical foundation for any organization that creates, manages, or uses data. Data must be managed in a way that is consistent with the organization’s data definition, data ...

My company's 2026 IT Priorities Report reveals that over half of CIOs identify data management and governance, alongside ...

The urgency to foster digital inclusion and advance effective data governance has never been greater, especially on the ...

CIOs addressed risk mitigation gaps and strengthened guardrails to fast-track AI projects without sacrificing on security.

Data governance is necessary for compliance with current regulatory expectations for data integrity in pharmaceutical R&D and manufacturing organizations. A company should consider whether it has a ...

AI demands adaptive data governance: real-time automation of policies, lineage and AI-driven monitoring ensures dynamic compliance for modern enterprises. Data governance has evolved from a compliance ...

Verizon is building trust in AI through a robust data governance and quality framework. Analysis on responsible AI, telecom ...