Science Will Eat Its Children
summary
Claims that routine data science is automatable with a library of specific classifiers — Inspirient reports 226 classifiers that detect file delimiters, time series, P&L rows, postcodes and semantic fields and suggest analyses — and a board actually discussed an automatically generated result. Real cases include insurance, Deutsche Bahn workshops, banks (fraud, mishandled loans), vehicle emissions and retail audience discovery. Predicts about 40 percent automation and uses a closed-loop thumbs up/thumbs down feedback to learn priorities.
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chapters (6)
- 0:00Intro
- 13:13Impact on Society
- 13:27Impact on Data Science
- 15:38Automating Data Science
- 16:46What will you find in Data
- 18:19Audience Questions
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