Event Details

Webinair

Companies looking to obtain a new software solution often feel like in a candy store: There are lots of options, but the forecasting needs may well be quite specific, and the budget is typically constrained. In addition to new startups that supply very specific machine learning (ML) and artificial intelligence (AI) algorithms, established business intelligence software companies are adding more and more predictive time-series analysis tools to their product lines increasing the number of software solutions available. As a result, it is difficult to choose the most appropriate product to meet prospective users’ needs. This talk highlights insights from the latest biennial ORMS-Today forecasting software survey, led by the Centre for Marketing Analytics and Forecasting, on recent developments and future trends in this industry sector – supporting practitioners making their forecasting software purchase decision.