Machine learning frees up data scientists’ time, simplifies smart applications

H2O’s Oleg Rogynskyy Image: H2O.ai It’s almost a joke at this point — data scientists are essentially janitors. The New York Times reported last year that data scientists spend anywhere from 50-80% of their time cleaning up data sets in order to find usable insights— the kinds of insights that can help businesses run more efficiently and provide better services. H2O.ai wants to cut through that tedious data wrangling by giving data scientists, developers, business analysts, and the enterprise, in general, access to open source machine learning on which to build their applications. For the unfamiliar, a smart application is a “new category of application software designed to support business activities that are people-intensive, highly variable, loosely structured, and subject to frequent change,” according to Forrester Research. Oleg Rogynskyy, H2O’s…


Link to Full Article: Machine learning frees up data scientists’ time, simplifies smart applications