Blog
Clear thinking about data and AI.
Explanations and opinions on connecting data, understanding models, governing AI and turning decisions into action. No statistics we cannot source.
Platform
- PlatformArticle
The real cost of a fragmented data and AI stack
The licences are the visible cost. The hand-offs between tools are the expensive one.
· 5 min read
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Data
- DataGuide
ETL, ELT and workflow automation: what is the difference?
Three terms that overlap in practice. Here is what each one means and when it matters.
· 6 min read
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Analytics
- AnalyticsGuide
What makes an executive dashboard worth opening
Most dashboards are built to be complete. The useful ones are built to be read.
· 5 min read
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ML
- MLGuide
Explainable machine learning: what it is and what it is not
Explainability helps teams understand a model. It does not make a model correct, fair or safe on its own.
· 6 min read
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AI
- AIGuide
RAG and AI agents, explained without the hype
What retrieval-augmented generation and agents actually do, and what has to be true before they are useful at work.
· 6 min read
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Governance
- GovernanceGuide
Data, model and AI governance: one discipline, three inventories
Governing data, models and AI agents is the same job done three times — unless they share a foundation.
· 5 min read
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One platform. A better way to build with data and AI.
Start with one use case. Expand across the ecosystem.