Using AI to Optimize Manufacturing Process an Decrease Defects

This case study will highlight the problem statement, design, methodology and results of using ML models in a manufacturing facility to classify and predict quality issues.  The highlights will include:

• Building the requirements for the models
• Data Engineering Considerations
• The iterative approach and framework for training and improving model results
• Next steps and productionizing the models