Practical perspectives on AI, software engineering, data and digital transformation, written for leaders and teams making technology decisions.
Large language models are fluent, but fluency is not accuracy. Retrieval-augmented generation connects models to your own knowledge. Here is what it takes to make that connection reliable.
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For field teams, health workers and rural users, connectivity is the exception. Offline-first design treats the device as the primary place where work happens, and that changes how you build everything else.
Read articleNew software rarely fixes a broken process on its own. The most successful transformation programs begin by understanding how work actually gets done.
Read articleOver-engineered infrastructure wastes money; under-engineered infrastructure fails at the worst moment. A practical way to choose the right level of complexity.
Read articleMaps are the visible part of a GIS. The spatial database underneath determines whether analysis is fast, consistent and trustworthy.
Read articleHealth systems generate data in many disconnected applications. FHIR offers a common language for exchanging it. Here is what that means in practice.
Read articleDashboards are only as good as the data and definitions behind them. A step-by-step approach to business intelligence that people actually trust.
Read articleIf an idea here relates to a challenge you are facing, we would be glad to talk it through.