Creating the next era of forecasting
BEONTRA explored new methodologies to be used for the flight by flight passenger forecasting. Now, further into the evaluation, we look for more data sets and customers who want to participate in the process in order to further test and validate current machine learning models and algorithms. If you want to be part of the journey right from the start, join us!
What is it about?
As presented during the 22ndBEONTRA Summit in Vienna, BEONTRA is focusing on a machine learning-based forecasting approach. The goal is to obtain a robust algorithm that, trained upon various data sets, will provide accurate results.
BEONTRA aims to establish a benchmark for the quality of the algorithm, measured on top of several data sets from various airports. Any new algorithm version will be compared to the latest benchmark.
How to participate?
To ensure robustness and accuracy BEONTRA would aim for a beta community, a group of customers that are interested in this topic. As part of this community you will ideally be able to share data-sets with us for evaluation. The goal is to assess the accuracy of the algorithm for all members of the beta community and proactively work towards improving the algorithm as well. Furthermore, your input will be requested for the workflow, either directly or in one of the B Labs group sessions. Last but not least, you will have a front row seat in case of updates or trials!
Please email Bert Dijk and we will get in touch with you in due course.