Humans-in-the-loop forecasting: integrating data science and business planning
The Unofficial Google Data Science Blog
DECEMBER 4, 2019
For example, proposed forecasts may come from customers, if their forecasts are based on forward-looking information about product and technology plans that would be difficult for the data scientist to extract as inputs into a predictive model. As the old adage goes, all forecasts are wrong. Perfection is not possible.
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