Amazon has developed machine-learning driven models on how to forecast demand for its services and deploy infrastructure accordingly.
The Bank of Canada has launched a multiyear effort to overhaul the sophisticated computer models it uses to forecast the economy after they failed to foreshadow the aftershocks of the global financial crisis.
The International Institute of Forecasters (IIF) will be hosting their annual conference in Cairns, Australia in June 2017. This will be the 37th year of hosting the premier forecasting conference, attracting the world’s leading forecasting researchers, practitioners, and students. Continue reading 37th International Symposium on Forecasting
A growing number of companies says their forecast accuracy, service levels and inventory efficiency metrics have hit a ceiling that they just can’t get past.
The renowned International Symposium on Forecasting will take place from June 19-22, 2016 at the Palace of La Magdalena in Santander, Spain.
Need to boost forecast accuracy? Three factors have huge impact on the predictions: training, teams and tracking. It’s time to tee up!
Optimism and lateral thinking are the hallmark of a “closer” and the chief attributes of a lousy forecaster, one of the great paradoxes of sales.
Often the biggest obstacles to S&OP excellence stems from complexity: difficulty gathering data, too many meetings, a hard-to-govern process, or difficulty analyzing key data.
Big data solutions provider Lokad has introduced its second forecasting breakthrough. Quantile grids do not provide one demand forecast per product, but provide the entire probability distribution for (nearly) all possible futures.
Past research has found that publicly available data can be used to accurately forecast events such as political crises and disease outbreaks.