As recent McKinsey Global Institute research indicates, there’s a yawning divide between leaders and laggards in the application of AI both across and within sectors. Executives hoping to narrow the gap must be able to address AI in an informed way. In other words, they need to understand not just where AI can boost innovation, insight, and decision making; lead to revenue growth; and capture of efficiencies—but also where AI can’t yet provide value. What’s more, they must appreciate the relationship and distinctions between technical constraints and organizational ones, such as cultural barriers; a dearth of personnel capable of building business-ready, AI-powered applications; and the “last mile” challenge of embedding AI in products and processes. If you want to become a leader who understands some of the critical technical challenges slowing AI’s advance and is prepared to exploit promising developments that could overcome those limitations and potentially bend the trajectory of AI—read on.
Authors: James Manyika, Mehdi Miremadi, Michael Chui
Source: McKinsey Quarterly
Subject: IT / Technology / E-Business