Scale By the Bay 2020

This talk will cover how we built and productionized automated machine learning pipelines at Salesforce.  Starting with heuristics to automated retraining using technologies including but not limited to Scala, Python, Apache Spark, Docker, Sagemaker for training, and serving. We will walk through the generally applicable data prep, feature engineering, training, evaluation/comparisons, and continuous model training including data feedback loops in containerized environments with AWS Sagemaker. We will talk about our deployment and validation approach. Finally, we’ll draw lessons from iteratively building an enterprise ML product. Attendees will learn about the mental models for building end to end prod ML pipelines and GA ready products.