Evaluating Model Deployment and Maintenance Considerations

Exploring the factors influencing model deployment decisions such as risk tolerance, latency, costs, and performance, along with discussing the maintenance aspects like APIs, metrics evaluation, A.B. testing, data logging, and fine-tuning, and weighing the options between in-house model maintenance and external services like Mosaic ML.