Palantir's biggest insight wasn't AI.
It was that AI is only a layer. The real asset is data organized into a usable ontology that gives meaning to the real world.
Uganda's AI challenge isn't a lack of models. It's a lack of structured local datasets.
Agriculture. Land. Construction. Healthcare. Logistics. Taxation.
The next generation of Ugandan AI products won't be built by prompting LLMs alone. They'll be built by connecting AI to rich local data and domain knowledge.
AI without context is a chatbot.
AI connected to real-world Ugandan data becomes infrastructure.
I'm particularly interested in connecting with builders, researchers, domain experts, and organizations thinking about local datasets, ontologies, and applied AI for Uganda. If you're working in this space, let's connect and exchange ideas.