We'll introduce a novel approach to digital pathology analytics, which brings together a powerful image server and deep learning –based image analysis on a cloud platform. Recent advances in AI and Deep Learning in particular show great promise in several fields of medicine, including pathology. Human expert judgement augmented by deep learning algorithms has the potential to speed up the diagnostic process and to make diagnostic assessments more reproducible. One of the major advantages of the novel AI-based algorithms is the ability to train classifiers for morphologies that exhibit a high level of complexity. We will present examples on context-intelligent image analysis applications, including e.g. fully automated epithelial cell proliferation assay and tumor grading. We will also present other examples of complex image analysis algorithms, which all run on-demand on whole-slide images in the cloud computing environment. Our WebMicroscope® Cloud is sold as a service (SaaS) approach, which is extremely easy to set up from a user perspective, as the need for local software and hardware installation is removed and the solution can immediately be scaled to projects of any size.