Notes on data, AI, IT
and security
No marketing fog. The way I think about real problems with founders and managers.
EU AI system definition guidelines: how this affects real products
The European regulator published guidelines on defining an AI system. What this means for companies that build or use AI-powered products.
NIS2 simplification package: where compliance becomes less paperwork
What the EU regulatory simplification package around NIS2 means for companies working with European partners or clients.
IT budget after a growth freeze: what to cut, what to protect
How to set priorities in an IT budget when the company shifts from growth mode to caution.
Five AI questions worth answering before the year ends
2025 changed expectations around AI. I close the year with five questions that help managers honestly assess their readiness for the year ahead.
Platform engineering: from ops team to internal product
Platform engineering is not just a new word for DevOps. It is a shift in how the infrastructure team thinks about its work - and who its customer is.
AI shifts the phishing baseline: what companies need to rethink
Generative models have reduced the cost of producing convincing phishing emails to zero. I break down how this changes the threat model and what needs to change in defence.
MCP and managed agents: how to connect to data without writing one-off glue code
The Model Context Protocol changes how agents connect to external systems. I break down what this means for architecture and data management in enterprise.
Data contracts: the agreement that comes before the pipeline
When two teams exchange data without a formal agreement, the pipeline works until it does not. Data contracts make expectations explicit and incidents avoidable.
Data observability: catching broken pipelines before your users do
A silent data failure is more dangerous than a crashed service. I explain what data observability is and why operational teams need it, not just engineers.
LLM hallucinations in operational decisions: the risk managers miss
Language models produce confident wrong answers. In internal demos this is inconvenient. In operational decisions it is a liability. I break down where the risk actually sits.
AgentKit and agentic UX as a new layer of enterprise software
Agentic interfaces are changing how enterprise software looks and works. I break down what this means for architectural decisions and UX strategy.
Humanoid robots on the factory floor: 2025 pilots and the real status
Several companies have launched humanoid robot pilots in manufacturing. I break down what this means for managers thinking about automation.