About this paper
There’s a growing need for IT and business to automate decision-making in operational contexts that demand accurate, near-instant decisions. Rather than having common, everyday decisions made hundreds and even thousands of times a day by front-line workers or dependent applications, companies can use analytical models to make decisions faster, more accurately, and more consistently. But to do this, you must be able to deploy new analytical models faster than most organizations are capable of today. In this paper, we discuss how leading organizations are successfully automating the model deployment process, dramatically shortening the time needed to create them so that models can be put into production before they become obsolete. And by automating operational decisions, they are improving KPIs for customer satisfaction, revenue growth, return on assets, production uptime, operational costs, meeting targets, and more.