Building an Organization That Learns Faster

Most organizations have more data, faster computing, and more sophisticated analytical tools than ever before. So why do so many still struggle to learn quickly, trust early evidence, and turn insight into action? The obstacle is rarely technology alone. It is whether people are willing to challenge intuition, demand measurable proof, make analytical work reusable, and create the conditions for better decisions to spread. In this session, we explore what it really means to build an analytically agile organization and discuss why progress cannot be delegated solely to data scientists or senior leaders. From a engineer at Rivian improving a recurring analysis to an R&D executive at Dow reshaping experimentation, we will see how people at every level can alter the habits, incentives, and expectations that determine whether data accelerates innovation or merely documents it.