Author: Anna Osman

Large Language Models (LLMs) have become central to modern AI applications, from content generation to enterprise data analysis. Yet their rapid adoption has raised a critical question: How can we trust models we cannot fully understand? The article Explainability for Large Language Models: A Survey (Aday‑Delgado et al., 2023) provides a comprehensive exploration of the emerging…

Custom-Built Governance: Control Meets Commitment  Building a custom data governance solution gives organizations exceptional control; every feature, from metadata tagging to access protocols, can be tailored precisely to internal needs. Scholars confirm this advantage: bespoke architectures allow embedding specialized compliance measures for GDPR, HIPAA, or proprietary regulations in a way standard platforms cannot match (Marcucci et…

Introduction In an era characterized by soaring data volumes and accelerated AI adoption, effective governance is no longer optional, it’s foundational. A 2024 IDC report found that 87% of organizations expect generative AI to transform their business, yet by 2027, 60% risk failing due to weak governance frameworks (Collibra, 2024c). The rise of “shadow AI”…