Notes on data, AI, IT
and security
No marketing fog. The way I think about real problems with founders and managers.
Data freshness and operational decisions
When stale data costs money, and how to understand which data in your company needs to be current and which does not.
Cloud vendor lock-in: the cost that does not appear in the invoice
Dependency on a single cloud provider looks cheap on paper until the moment you need to renegotiate, migrate, or recover from an outage. What to account for before you are locked in.
AI agent systems: moving from demo to platform
New tools for building AI agents are changing the conversation from 'is this possible' to 'how do we manage this in production'.
RAG in production: what architects actually need to decide
Retrieval-augmented generation has become the default pattern for corporate AI. I break down what architectural decisions actually matter and where the traps are.
Internal APIs as the backbone of IT architecture
Why companies that treat internal APIs as technical details pay a steep price with every integration and every change.
The EU AI Act: where the red zone starts for business
The first binding rules of the EU AI Act on prohibited practices came into force in February 2025. What this means for companies using or planning to use AI.
DeepSeek-R1: reasoning as a new dimension of competition
What the release of DeepSeek-R1 means for companies thinking about AI: cost, openness, and practical consequences.
A data platform versus a collection of tools: how to tell the difference
Why many companies believe they have a data platform when they actually have a pile of tools - and what to do about it.
2024 in security: what changed and what stayed the same
A brief look at what 2024 added to the information security landscape - for those who make decisions, not just execute them.
Sora as a step toward world models: controllable video generation changes the conversation
What Sora means beyond impressive demos: why it is a step toward world models and which practical questions it opens.
Controlling LLM costs in production: token budgets and request design
Practical ways to reduce the API bill for LLM-powered features without degrading quality - focused on what actually moves the needle in real deployments.
How to evaluate an AI vendor when buying: a working filter
A set of questions and criteria for a manager choosing an AI solution or contractor - without relying on demos and marketing materials.