Webinars

How to Forecast New Products and Services –  October 28 – 1;30 EDT

 

Let’s face it—forecasting new products is difficult. With little or no historic data, many traditional forecasting methods just won’t work. So how do you forecast new products?In this one-hour webinar, Eric Stellwagen and Sarah Darin will share some insights. They will survey different approaches for effectively forecasting new products and discuss the role of judgment and market research.

 Eric and Sarah will review the following classifications for new products and discuss pros and cons of various forecasting methods used for each category: – Replacement product – Product line extensions – New-to-company products – New-to-world products  Using real-world examples, Eric and Sarah will demonstrate popular methods for new product forecasting including product mapping (aka item supersession), forecasting by analogy, custom component models, assumption-based models and the Bass diffusion model.

Makridakis Open Forecasting Center.

On Thursday 11th February 2021, at 17:00PM (CET) we are organizing an Applied Forecasting course Ask Me Anything webinar where people can meet me and the other 2 instructors, Prof. Pasquale Cirillo and Dr. Vangelis Spiliotis, and ask anything about our online course.

Participation in the webinar is free, but registration is needed for organizational reasons.

Webinaire Gratuit : Qu’est ce que le “Machine Learning” — Pourra t-il améliorer mes prévisions?

22 Juillet 2021 à 13:30 pm – 14:30 pm EDT

Free Webinar: What Is Machine Learning — and Will It Improve My Forecasts? July 22, 2021 – 1:30 pm – 2:30 pm EDT

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.