Leaders must adapt to the changing culture as young workers enter the job market with expectations strikingly different from the ones that leaders traditionally...
For the Big 4, this moment represents not just a challenge but an existential threat. Their traditional models, deeply rooted in hierarchical structures and slow-moving and risk-averse processes, leave them especially vulnerable to the pace of AI-driven change. If these firms cannot embrace AI and adapt quickly enough to meet the demands of a flipped industry—redefining their value proposition, overhauling their delivery models, and rethinking their leadership structures—then perhaps their time has passed.
Canada has been investing in machine learning and artificial intelligence (AI) for longer than most of the industrialized world. Dr. Geoff Hinton of Google...
In the summer of 1956, a small gathering of researchers and scientists at Dartmouth College, a small yet prestigious Ivy League school in Hanover,...
Where AI, robots, IoT and the so-called Fourth Industrial Revolution are taking us, and how we should prepare for it are some of the...
Cybersecurity strategies need to change in order to address the new issues that Machine Learning (ML) and Artificial Intelligence (AI) bring into the equation....
If you've ever been to an expensive restaurant and ordered a familiar dish like, say, lasagna, but received a plate with five different elements...
Whether AI and the technologies it enables will reach their full potential depends on the workforce that will work alongside them. Yet the skills...
If you’ve read the many predictions about the future of AI, you’ve likely found them to be wildly different. They range from AI spelling...
Growing reliance on AI will not likely result in any of the three most common views of how AI will affect our future. Each...
