Model | Thomas Nys | The Fractional Data Architect

AI security architecture - preparing your data systems for emerging threats

Is your architecture ready for AI-driven threats

AI problem specification - why clear requirements drive successful implementations

If you can't describe the problem, AI can't solve it

Conway's Law in data - how team communication shapes system architecture

Your architecture mirrors your communication patterns.

AI innovation limitations - why historical data constrains transformation

AI cannot innovate if all you provide it with is precedent.

Data leadership soft skills - why social problems matter more than technical ones

Your most challenging problems aren't technical; they're ...

AI governance visibility gap - tracking deployed tools across the organization

Most teams can't even list the AI tools they've deployed.

AI ROI reality - why solid data architecture beats hype-driven investments

Hype doesn't deliver ROI. Solid architecture does.

DataOps SysOps collaboration - resolving ownership conflicts between teams

Friction between DataOps and SysOps isn't about tools.