"It's Not Over When It's Over": The Case for Continual Learning

Innovation is a muscle that gets stronger with use. The importance of ubiquitous technology to nearly every role, the pressure to “do more with less,” and the rapid innovation to processes and technologies are creating an environment in which change is constant. If change is constant, then learning must be continual – but learning is like a personalized change management problem. One that is highly complex due to diversity, attitude, and content or context. Each circumstance influences the approach to learning: what must be learned, when it can be learned, how much can be learned and how it will be learned. IDC’s research suggests that to solve for these variables, learning must be presented in various ways.