Platform as a Service (PaaS) is the correct answer as it provides a platform allowing customers to develop, run, and manage applications without the complexity of building and maintaining the infrastructure typically associated with developing and launching an app. PaaS often includes tools and services for building AI and machine learning features, enabling the company to focus on the development of the predictive analytics and not on the underlying infrastructure. Infrastructure as a Service (IaaS) would require the company to manage more of the infrastructure themselves, which adds complexity. Software as a Service (SaaS) would typically be end-user applications that are not designed for integrating custom machine learning models for specific purposes. A bare metal server provides hardware without any virtualization and would require significant effort to manage everything from the ground up.