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 premortem


Back of the Envelope Machine Learning

#artificialintelligence

Data science projects fail, frequently. Between the end of 2017 and 2019 several published reports from Gartner, NewVantage, and VentureBeat AI showed that'failure' rates on data science projects are north of 75%. But I don't think this is indicative of how powerful the growth of data, machine learning, and AI has been for business (and likely all sectors of the economy) over the same timeframe. Back-of-the-envelope machine learning is inconspicuously powering business today (2020). A premortem is a thought exercise to predict or foresee why an analysis or project might fail.