Beyond all the debate and concern about the potential and perils of artificial intelligence (AI), another urgent conversation is taking place in the machine-learning community: How to make AI more “data-centric.” Unlike the AI advances to date, which have largely been driven by data scientists, programmers and systems engineers, the push to re-center AI around the quality of underlying data requires the involvement of every business leader hoping to leverage AI for productivity gains, ris...
