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Friday, November 13 • 4:15pm - 4:45pm
NLP text recommender system journey to automated training pipeline with Spark and Sagemaker

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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.

Speakers
avatar for Aditya Sakhuja

Aditya Sakhuja

Engineering Lead, Salesforce
Aditya Sakhuja is an Engineering Lead at Salesforce Einstein building ML products. He built the early prototype of a question answering system in salesforce's ML journey and helped ship multiple ML products over the next few years in the service and collaboration space including knowledge... Read More →


Friday November 13, 2020 4:15pm - 4:45pm PST
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