What's shaping
the thinking.
Papers, articles, and reports that are actively informing my DBA research. Updated as the reading stack grows.
EU AI Act: What It Actually Requires from Enterprise Architecture
The Act's tiered obligations on high-risk systems — risk management, data governance, human oversight, post-market monitoring — are EA governance requirements, not just legal checkboxes. Most organisations haven't connected these dots yet.
OECD AI in Business: Adoption Patterns Across Sectors
Longitudinal survey data on AI adoption rates across industries. The gap between AI awareness and meaningful deployment remains stubbornly wide — particularly in SMEs.
Why AI Transformations Fail: The Change Management Gap
Strong empirical argument that most AI project failures trace back to organizational change management, not technical shortcomings. Required reading before any deployment.
AI Index Report 2025
The most comprehensive annual benchmark of AI capability, adoption, and societal impact. Dense but essential — I pull from it constantly.
How AI Integrates with Enterprise Architecture Frameworks: A Systematic Literature Review
The most current survey of the EA-AI intersection. Finding: existing frameworks were not designed for AI and require significant adaptation. Persistent challenges in technical integration, data privacy, and governance alignment. Directly foundational to my research.
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