Productionize Your Models In 6 Weeks

1 Week To Discover

• Define business use case
• Identify data and data source requirements
• Design data science algorithm and framework requirements

2 Weeks To Experiment

• Define compute and storage requirements
• Setup the infrastructure
• Design and create the solution architecture
• Design the workflow for experimentation
• Bring data from multiple sources and version

3 Weeks To Production Deployment

• Train and evaluate the models by performing multiple experiments in parallel
• Compare experiments to arrive at the most optimum model
• Deploy this model into production
• Setup post deployment monitoring