AI & Machine Learning
Why the ‘Just Do Something’ Strategy for AI Won’t Work
AI strategy will only get big results if companies focus on what AI can do at scale.
AI strategy will only get big results if companies focus on what AI can do at scale.
Successful leaders establish missions, facilitate decision-making, and eliminate obstacles.
Three crucial steps can help companies overcome legacy approaches — without automating everything.
Six risks that business leaders can begin to strategize around now.
At the heart of many botched appointments is the lack of a clear mandate.
New research offers companies a framework for managing successful country portfolios.
Getting ahead of industry disruption, successful frameworks for strategic decision-making, and creating value through customer experience.
How should antitrust policy shape the future of Big Tech?
No matter how compelling it seems, data alone won’t win people over unless infused with a story.
The true underperformers in this digital disruption era are not measures but their managers.
How will companies respond to Trump administration rollbacks of environmental regulations?
Early AI winners align organizational and business strategies to build value and manage risk.
Why do workable analytics-based strategies always seem to fail when the playoffs start?
Major makeovers should benefit — and be noticed by — those who buy a company’s products and services.
We’ve unlocked our site and curated reading lists to help you solve your key business problems.
Re-skilling done right, telling a good data story, and three big points on disrupting yourself.
If companies want to compete with blockchain, they must first cooperate to develop standards.
This case study follows Mondelez International’s project to implement RPA as part of its AI journey.
WeWork’s disastrous week, AI breaks down business silos, and the most important leadership skill.
Find the sweet spot between what digital technologies can deliver and what customers need.