Looping in your new sidekick
The role of machine learning in qualitative data analysis
Given the increasing sophistication of artificial intelligence and machine algorithms, using machines to analyze data could yield time and cost efficiencies and enhance the value of insights derived from the data.
Closing the employability skills gap
The answer is simpler than you may think
Advances in AI, cognitive computing, and automation mean employers should equip workers with more than technical skills. Skills such as creativity, leadership, and critical thinking might be more important than ever.
Future of work
The future of work is being shaped by two powerful forces: The growing adoption of artificial intelligence in the workplace, and the expansion of the workforce to include both on- and off-balance-sheet talent. What changes could be in store for the workplace, the workforce, and the nature of work itself?
The evolution of work
New realities facing today’s leaders
Technological and social forces are transforming how work gets done, who does it, and even what work looks like. In an effort to understand how organizations can rethink their approaches in the face of the evolution of work, this article tries to tap into the wisdom of crowds by asking leading thinkers to identify what they think are the most important driving forces shaping the work-related realities of tomorrow.