Data Governance Strategy Articles

Modern organizations require data governance that goes beyond merely checking boxes; it must align with broader business objectives. This involves implementing AI governance to facilitate access to real-time insights and offering the flexibility needed to adapt to rapidly changing market conditions. Achieving this balance hinges on a comprehensive data governance strategy that addresses current data strategy trends, as discussed in this article.

Data strategy trends for 2025 reveal a growing paradox: As organizations rush to implement generative AI and automation, their lack of cohesive data governance is leading to the creation of new silos instead of dismantling them. Discover five key trends in AI governance that can help address this issue.

This article discusses the collaboration with an AI writing assistant and how it can enhance content creation. I will guide you through the transformative impact it had on developing this blog post, while also touching on important themes like AI governance, data governance, and emerging data strategy trends.

As demands for data governance and AI governance increase, companies are seeking ways to align these two critical areas. This article delves into the scopes, overlaps, and differences between data governance and AI governance, while also highlighting the latest data strategy trends and approaches to consider.

If data governance (DG) is designed to eliminate data silos for enhanced insights while ensuring compliance with legislation, how can it achieve this effectively? This article explores adaptive data governance, along with the latest data strategy trends, covering the what, why, and how of AI governance.