Full-stack data science and engineering will prevent innovation
Regardless of the size of your organisation, if you want to use data science to innovate for your industrial output, don't push for a full-stack data scientist. Prevention of specialising will kill innovations. Data science means R&D work at the core and data and ML engineering requires a different focus. The collaboration of course needed but one-fit-all is a doomed strategy for innovation.
#datascience #ml #datascienceisresearch
✴️ @AI_Python_EN
Regardless of the size of your organisation, if you want to use data science to innovate for your industrial output, don't push for a full-stack data scientist. Prevention of specialising will kill innovations. Data science means R&D work at the core and data and ML engineering requires a different focus. The collaboration of course needed but one-fit-all is a doomed strategy for innovation.
#datascience #ml #datascienceisresearch
✴️ @AI_Python_EN