個案總覽

As the sophistication of artificial intelligence (AI) systems develop and AI becomes a key element of organizational strategy across a wide spectrum of industries, new demands are being placed on senior leaders. To understand the growing challenges leaders will face in the age of AI, we conducted interviews with 33 senior leaders in several countries across a wide range of industries. Our research highlights key capabilities and skills that leaders will require. Underlying these capabilities is a mindset oriented toward continuous learning and self-development, which will enable ongoing and rapid adaptation to change. Our findings identified the following key capabilities: digital know-how, data-driven focus, networking, ethics, and agility. To successfully navigate the coming era, senior leaders will need to focus on reskilling the workforce, recruiting and retaining highly skilled talent, building an intrapreneurial culture, and managing unprecedented changes in technologies and the nature of work.

Artificial intelligence applications in cognitive computing systems can be found in organizations across every market, including chatbots that help customers navigate websites, predictive analytics systems used for fraud detection, and augmented decision-support systems for knowledge workers. In this article, we share reflections and insights from our experience with AI projects in the public sector that can add value to any organization. We organized our findings into four thematic domains-(1) data, (2) technology, (3) organizational, and (4) environmental-and examine them relative to the phases of AI. We conclude with best practices for capturing value with cognitive computing systems.

A great number of IT projects seem to take on lives of their own, gobbling up valuable resources without ever reaching their objectives. But they can be tamed. Once managers understand the key reasons why projects become runaways, they can learn to recognize the early signs of escalation and decide whether, when, and how to pull the plug. Project management will never become an exact science, but the guidelines provided here can at least help move it into the realm of a disciplined art.