In this special guest feature, Geoff Birnes, SVP of Customer Engagement at Atrium, discusses how the CRM space is being completely altered by the introduction of machine learning, data analytics and ...

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 ...

Supply chain forecasting is becoming an increasingly critical component of operational success. Accurate forecasting enables companies to optimize inventory levels, reduce waste, enhance customer ...

The Atlantic hurricane season lasts through Nov. 30. Hurricane forecasting has made tremendous strides in recent decades, but there is still a disconnect when it comes to the general public's ...

In today’s rapidly evolving business landscape, the ability to accurately forecast sales is more critical than ever. Yet, traditional sales forecasting methods are increasingly proving inadequate, as ...

LONDON--(BUSINESS WIRE)--A well-known market intelligence company, Infiniti Research, has announced the completion of their recent article on everything you need to know about using the right sales ...

Time series forecasts are used to predict a future value or a classification at a particular point in time. Here’s a brief overview of their common uses and how they are developed. Industries from ...

A team of researchers have developed a domain adaption framework capable of transferring knowledge from solar power plants with abundant data to plants that need to be trained without labelled data.

One of the tools meteorologists use to determine how fluffy or wet snow is, is a snow-to-liquid ratio. That means how many inches of snow does it take to get 1 inch of liquid -- i.e., if it were all ...