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Articles tagged AI
5 articles about AI.
The dashboard was never the hard part
An AI dashboard makes an answer visible. Meaning, ownership and trust require a foundation.
RAG or fine-tuning? Choosing for your own company data
Retrieve at question time or train the model further: the choice depends on how often your knowledge changes and whether you must be able to point at the source.
Why a semantic layer isn't enough for AI
A semantic layer defines your metrics. AI needs meaning that is governed, reaches the operation, and stays yours.
AI needs your own knowledge. The industry now agrees.
Databricks and Microsoft renewed their partnership around one principle: AI delivers value only once it is grounded in your own knowledge. The principle is settled. Two questions are not: where does it start, and whose is it?
AI is not a miracle. It is craftsmanship.
AI does not fix chaos. What works is the order: processes first, then definitions, then trustworthy data. Only then does AI become the brain at the heart of your organization.
Start with one decision that has to get better
Pick a recurring question where teams lose time or contradict each other. Make the meaning behind it explicit and bring it straight into daily operations.