Topics
Position papers, strategic analysis, and practical frameworks for data & AI transformation.
Agentic AI
Practical assessment of agentic AI: what it can do today, where the real risks are, and what organisations should be preparing for.
AI Strategy
Critical assessment of where AI delivers real value, where it doesn't, and how to build strategy that survives contact with reality.
Change & Adoption
Why transformation programs fail at the human level, and how to design for adoption from day one.
Computational Data Governance
Making governance operational through automation, platform integration, and intelligent interfaces, not manual processes and compliance checklists.
Data Governance & Maturity
Outcome-driven data governance through the DG2DMM framework.
Data Products & Platform Thinking
Treating data as a product, building self-serve data platforms, and evolving governance roles for a product-oriented world.