First, we will explore the power of a compounding insight machine (as opposed to an ad hoc insight machine): -Human time is focused on improving logic, rather than executing outcomes -Less dependent on human biases or frailty -Robust to and tested by a huge collection of scenarios Second, we will explore the anatomy of such a machine: -The roles you need to cast on your team and who to fill them with -The key processes required for generating and capturing insight and, more importantly, for building upon those insights -The technology required to enable this approach