1 INTRODUCTION
2 MACHINE LEARNING DEPLOYMENT WORKFLOW
3 DATA MANAGEMENT
4 MODEL LEARNING
5 MODEL VERIFICATION
6 MODEL DEPLOYMENT
7 CROSS-CUTTING ASPECTS
8 DISCUSSION OF POTENTIAL SOLUTIONS
9 FURTHER WORK
10 CONCLUSION