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As artificial intelligence becomes deeply embedded in how organizations operate, the focus is shifting from simply adopting AI tools to managing their ethical, legal, and strategic implications. In a new article, Mariner outlines how robust data governance is the foundation for trustworthy and sustainable AI adoption.
The article highlights the accelerating pace of AI deployment, the growing gap between leadership and employee expectations, and the tangible risks of poor data quality—from bias and compliance failures to real-world harm. It also explores how global regulatory shifts, including the EU AI Act and Canada’s AIDA, are shaping the future of AI accountability.
Mariner emphasizes that tools alone are not enough. Effective governance requires cross-functional expertise, continuous monitoring, and a deep integration with business goals. Their five-pillar approach offers a blueprint for organizations looking to scale AI while minimizing risk.
Whether you are just beginning your AI journey or scaling rapidly, one thing is clear: mature data governance is no longer optional—it is your life raft.
