Artificial intelligence (AI) is steadily making its way into the enterprise mainstream, but significant challenges remain in getting it to a place where it can make a meaningful contribution to the operating model. Until that happens, the technology risks losing its cachet as an economic game-changer, which could stifle adoption and leave organizations with no clear way forward in the digital economy.
This is why issues surrounding AI deployment have taken center stage this year. Getting any technology from the lab to production is never easy, but AI can be particularly problematic considering it offers such a wide range of possible outcomes for every problem it is directed to solve.
