Making good use of data and analytics will not be done in any single bold move but through multiple coordinated actions. Despite the recent and significant advances in machine intelligence, the full scale of the opportunity is just beginning to unfold. But why are some companies doing better than others? How do companies identify where to get started based on their digital journeys? In this episode of McKinsey Talks Operations, Bruce Lawler, managing director for the Massachusetts Institute of Technology's (MIT) Machine Intelligence for Manufacturing and Operations (MIMO) program, and Vijay D'Silva, senior partner emeritus at McKinsey, speak with McKinsey's Daphne Luchtenberg about how companies across industries and sizes can learn from leaders and integrate analytics and data to improve their operations. The following is an edited version of their conversation. Daphne Luchtenberg: Earlier this year, McKinsey and MIT's Machine Intelligence for Manufacturing and Operations studied 100 companies and sectors from automotive to mining. To discuss this and more, I'm joined by the authors, Vijay D'Silva, senior partner emeritus at McKinsey, and Bruce Lawler, managing director for MIT's MIMO. Let's start with the why.