Co-founder and Head of Decision Science at iCustomer, with 25 years in decision science across GE, Target, Lowe's, and Nike.
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Where causal decisions actually get executed.
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The real capital race in enterprise growth.
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Decisioning where the data lives: composable, SQL-native, real-time.
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Why even the smartest companies still choose the worse option.
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Cold start, the boomerang effect, and local maxima: why AI decisioning is still in its infancy.
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Put the uncertainty in the right place: tighten effects, not forecasts.
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The Correlation Trap: why doubling down on high-LTV customers quietly destroys value.
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How causal decision science compounds growth, and why the correlation era never could.
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