Data Platform
How data infrastructure becomes an operating environment for decisions, products, and organisational behavior.
Writing
Field notes on how systems actually behave.
Arkham Times is the editorial companion to Arkham Advisory: longer-form thinking on architecture, data, AI, transformation, and the organisations navigating all three.
Topics
The recurring questions.
The writing follows the same terrain as the advisory work: where technical choices, organisational behavior, and strategic consequences meet.
AI
What AI and agentic systems amplify, what they expose, and what has to become clearer before speed can be trusted.
Transformation
The gap between delivery motion and value, especially when strategy meets legacy systems and real incentives.
Engineering / Architecture
Boundaries, ownership, documentation, and the practical conditions that make complex systems legible.
Featured articles
Latest from Arkham Times.
Three recent field notes from the archive, selected for relevance to the advisory themes.
Batch, Streaming, and the Boundary That Actually Matters
The real architectural decision is not how fast you process data. It is what you choose to treat as a fact, and whether the machines around it can reason about those facts without asking permission.
The modern data platform is becoming an operating system
Why the data platform is no longer just infrastructure, and why its boundaries increasingly shape how organisations think, decide, and operate.
AI development & Engineering clarity
AI does not reward motion. It rewards coherence. A field note on why faster execution makes clarity, documentation, and architecture more strategic.
Next step
Read the wider archive, or start with the advisory conversation.
The writing is public fieldwork. The advisory practice is where that judgment is applied to specific decisions.