Challenges in ML Deployment

Demetrios, Isaac, and Kevin discuss the challenges organizations face when trying to deploy traditional ML models into production. They delve into issues such as the disconnect between data scientists and MLE teams, the complexity of batch and real-time features, and the importance of collecting and accessing the right data.