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Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Many companies are choosing to build their own AI systems, rather than buy. Financial services firm Kapitus shares lessons learned.