“I have a great predictive model! It achieved a 99% accuracy on the test set” How many times have you heard that? Many times. The next question then is: “Now what?”.
This video deals with the “Now what?” problem. It describes a number of model deployment options available within KNIME Analytics Platform and KNIME Server, from writing predictions to a database to producing a dashboard, from recoding the model into a SQL script to wrap it into a REST API service, and more.
The workflows shown in this video can be found on the EXAMPLES server under 50_Applications/27_Deployment_
