Artificial intelligence (AI) imposes a layer of discipline that’s unexpected for many companies. That’s good news, because the discipline requires us to rethink the collaboration, metrics and talent necessary to develop the focus that AI needs to succeed.
A successful AI adoption is distinct from big data, its predecessor. Big data was a solution in search of a problem: Enterprises were encouraged to gather together their data and see what it could turn up. AI requires the opposite approach. First, identify goals and underlying drivers. How might your organization become more competitive? How can it deliver more business value?