Organizations use models all the time – some without even realizing it – to make sense of all the data flowing in. In this article, Scott E. Page argues that those who use an ensemble of models – “many-model thinkers,” as he calls them – are the most accurate predictors of outcomes. The reasons are plentiful: “Models win because they possess capabilities that humans lack. Models can embed and leverage more data. Models can be tested, calibrated, and compared. And models do not commit logical errors. Models do not suffer from cognitive biases,” he writes. In this Harvard Business Review article, Page describes three rules for constructing a powerful ensemble of models: spread attention broadly, boost predictions, and seek conflict.