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, risk mitigation, product development, business planning and other benefits.