It can be highly beneficial for companies to develop a forecast of the future values of some important metrics, such as demand for its product or variables that describe the economic climate. There ...

International migration is difficult to predict because of uncertainties. The identification of sources of uncertainty and the measurement and modelling of uncertainties are necessary, but they are ...

SURD, an algorithm, reveals causal links in complex systems. Applications may include forecasting climate to projecting population growth to designing efficient aircraft. Getting to the heart of ...

Campbell Brown is CEO & Co-Founder of PredictHQ - Demand Intelligence for a dynamic world. Kiwi, family man, lover of travel, data & APIs. In such a dynamic world, too many companies have a heavy ...

Noncausal time series analysis deviates from traditional causal frameworks by incorporating both past and future information to explain and predict the dynamics of complex systems. This approach is ...

Company expansion often means a sizable investment of working capital, which makes it a risk without some assurance that the expansion makes sense. Many businesses use forecasting models as one ...

Estimating the demand for products or services is crucial for medical device manufacturers considering the dynamism in the market today. Insights into these factors not only help plan for future ...

Weather is notoriously unpredictable. Its effects, which are only growing more intense with climate change, can be devastating—physically, financially, and emotionally. Causal Labs wants to change ...