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What makes financial data useful for AI?
Financial data becomes useful when its context is preserved. A number without its period, unit, accounting basis or source can look precise while supporting the wrong conclusion.
Structure before scale
A consistent dataset records the information needed to interpret each observation. Units, reporting periods and source references are part of the evidence, rather than optional metadata added after collection.
Evaluate the reasoning
An effective evaluation asks whether an answer follows from the available evidence. It should also examine how the model handles missing information, conflicting definitions and calculations that depend on assumptions.
Structure before scale
A consistent dataset records the information needed to interpret each observation. Units, reporting periods and source references are part of the evidence, rather than optional metadata added after collection.
Evaluate the reasoning
An effective evaluation asks whether an answer follows from the available evidence. It should also examine how the model handles missing information, conflicting definitions and calculations that depend on assumptions.