Your Data Scientists or Machine Learning experts have developed a machine learning model which runs perfectly in your notebook? Now you want to deploy it into corporate IT to let it run “in the wild”. And a bunch of new problems comes up: How to integrate the work of your data scientists and machine learning experts into the development processes like CI/CD of your corporate IT? How to prevent a “throw-it-over-the-fence” mentality? How to test, monitor and continuously improve your machine learning application “in the wild”?
In a compact workshop, we will discuss the new challenges of integrating machine learning approaches in modern IT development processes and demonstrate our “Continuous Delivery for Machine Learning” (CD4ML) methodology with some live coding examples.