Kurt Muehmel (Dataiku) interviewed at the O'Reilly Artificial Intelligence Conference NY 2019
Interviewat O'Reilly Artificial Intelligence Conference 2019 - New York, New York · 2019-04-15..04-18·
summary
Argues that ROI needs concrete, small measurements not grand totals and recommends quantify a few impacts (time saved, process improvements, revenue or cost lines) using pilots as quasi–controlled experiments. Says centralizing work on a centralized platform yields governance plus an accounting proxy—counts like models in production and models deployed inform value. Mentions developing a value scorecard, warns against inflated forecasts, and flags GDPR/California compliance and widening investment gaps.
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chapters (10)
- 0:00Introduction
- 1:50Why is calculating ROI difficult
- 4:40Hidden costs
- 6:55Email models
- 8:15Business value
- 9:25AI investment gap
- 10:35Organizational challenges
- 11:35Best practices
- 14:05Predicting ROI
- 15:35Who should know
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