Merge pull request #628 from ryandawsonuk/why_seldon

points on why seldon

readme.md

@@ -7,6 +7,14 @@ Seldon Core is an open source platform for deploying machine learning models on
  * Create powerful inference graphs made up of multiple components.
  * Provide a consistent serving layer for models built using heterogeneous ML toolkits.
 
+## So Why Seldon?
+
+ * Let's you focus on your model by [making it easy to serve on kubernetes](https://docs.seldon.io/projects/seldon-core/en/latest/workflow/README.html)
+ * The same workflow and base API for a range of toolkits such as scikit-learn, tensorflow and R
+ * Out of the box implementation of tracing and base metrics, applicable to all models across toolkits
+ * Support for deployment strategies such as running A/B test and canaries
+ * Inferences graphs for microservice-based serving strategies such as multi-armed bandits or pre-processing
+
 ## Documentation
 
 Documentation can be found [here](https://docs.seldon.io/projects/seldon-core/en/latest/).