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On-premise or cloud AI? A practical decision guide
Where your AI runs decides who sees your data, what it costs and how fast you can ship. Five questions settle most cases.
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What we learn building AI systems, custom software and infrastructure for regulated organisations. Practical, and short enough to read over a coffee.
· 5 min read
Where your AI runs decides who sees your data, what it costs and how fast you can ship. Five questions settle most cases.
Read article· 5 min read
Language models write well and count badly. In credit analysis, the fix is architectural: code computes, the model explains.
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Adding 'reviewed by a human' to a footer changes nothing. Here is what it takes to keep a person genuinely in charge of an AI-assisted decision.
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Extracting values from a PDF is the easy half. Knowing when the extraction is wrong is what makes a pipeline usable.
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The best-maintained servers are the ones nobody talks about. A short checklist of the routine that keeps them that way.
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Buying is the right default. Building wins in a few specific situations, and it helps to recognise them before the licence renewal.
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