Delivered at CF Summit Europe 2016 in Frankfurt, 28th September 2016
The first part of this talk argues why Cloud Foundry is ideal for operationalising and scaling machine learning models.
The core of the talk describes a scalable cloud native architecture for operationalising data science models based on microservices. There is a video demo of this architecture in action.
The last part of the talk explains the limits of Cloud Foundry in the context of data science and what still has to be achieved for Cloud Foundry to become an end-to-end data science platform.