An Enterprise AI Platform as a Path Toward Intelligence Process Automation

In this article we take a look new technology that can overcome common problems that contribute to struggles with AI projects. Project delays, budget limitations, scarcity of needed skills, changing data sources, decay of a model’s predictive power (model drift), and scalability issues are just some of the aspects that make for potentially high-risk AI projects.