AIML Week: ML for forecasting service demand and planning capacity
More and more organizations are using advanced analytics based on historical records to plan resource allocation. While ML solutions have recently been proven to be a good alternative to forward models in predicting demand, traditional techniques –mainly models based on the current state of the system – are still preferred in many applications. This session provides an overview of common challenges you may face when evaluating your machine learning or forward models. We recommend this session to developers proficient in building and deploying machine learning models.