DataScience as a Service

Kalvermelk 2b

Nowadays almost everybody is talking about DataScience / Machine Learning, containers, cloud and going serverless.
what if we could combine all those elements to form one microservice landscape? Nice right!?

In this session i will start of with sharing my thoughts about it and then do a live demo where i will:
– start containerising a trained model.
– deploy the container with the trained model to a container platform like kubernetes.
– deploy a serverless environment on the same container platform.
– create serverless functions to send and receive data from our trained model.
– create a Single Page Application to visualize our trained model with the data retrieved from the serverless functions.

After the session the attendees will have a basic understanding how all these things can be glued together to form 1 for the end user appearing application.

Cloud & Serverless