Machine Learning and AI have emerged as transformational methodologies with a multitude of applications—facial recognition, medical diagnosing and self-driving cars—to name but a few. But can Machine Learning be used to improve your forecasting? Recent forecasting research suggests that it can. In this webinar, Sarah Darin overviews the basics and benefits of automated Extreme Gradient Boosting (XG Boost) an effective and accurate Machine Learning algorithm recently implemented in Forecast Pro.

Introducing Forecast Pro TRAC v7! In this one-hour webinar, Erik Subatis and Sarah Darin will provide an overview of four new functionalities in Version 7: Machine Learning, Product Mapping, Forecast Value Add Reporting, Excel Collaboration Enhancements.

During this webinar, Timm Reiher and Todd Ferguson, two demand management experts from Oliver Wight will discuss strategies for managing uncertainty and explore techniques in demand planning to help you bridge the short and the long term. The webinar will also include a demonstration of how to use the Forecast Pro software to generate both short and longer-term forecasts.

To improve the forecasting process in your organization, it is critical to measure and monitor performance to know what is working and what isn’t. You can achieve this—and realize other significant benefits—by tracking forecast accuracy.