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.

Guess what? Artificial intelligence (AI) isn’t going anywhere — and if you think your business and industry are unique, and won’t be disrupted, you’re wrong. Does that mean you need to close up shop, and that everyone’s jobs are about to be stolen by technology? Of course not. But it does mean that even if you aren’t thinking about how to leverage the power of real-time AI technology in your business, your competitors are, and they’re going to gain a more and more competitive advantage until you catch up.