| “ | The best thing you can do is collect and refine your data lake internally. ML and AI are expensive and require knowledgeable programmers who will be needed for the long term. Until ML and AI become more commoditized, data analytics and automation are the first steps, but they require good, uniform data pools to pull from. Refining your data lake now will benefit the ML and AI tools you deploy later.
~ Tom Roberto |
|
|
” |
See the full article here, on Forbes.