From Raw Data to AI
Engaging insights on data governance and AI implementation
Engaging insights on data governance and AI implementation
Data strategy trends for 2025 reflect a growing paradox: While organizations race to adopt generative AI and automation, their disconnected data initiatives are creating new silos rather than breaking them down. Learn about five key trends to address this problem.
The Impact of Advanced-Data Lineage on Governance Advanced data lineage (ADL) enables organizations to move from reactive to proactive problem-solving. This article explains how ADL promises improved efficiency, compliance, and decision-making capabilities.
This article is about collaborating with an AI writing assistant and using it to improve content. I walk you through the transformative-impact it had on creating this blog post.
As demands for data governance and AI governance increase, how can companies make them work together? This article explores their scopes, overlaps, differences, and which approaches to consider.
If data governance (DG) is supposed to break down data silos for better insights while ensuring compliance with legislation, how can it do so effectively? This article dives into
adaptive data governance, the what, why, and how.
Michelle P. Knight: Engaging & Educational Writing
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