Agile Data Science - Achieving Salesforce-Scale Machine Learning in Production

Explore the intricacies of implementing large-scale machine learning in production with Sarah Aerni, Director of Data Science at Salesforce Einstein, in this insightful conference talk. Discover how Salesforce successfully integrates Agile methodologies into data science practices to serve over 100,000 customers. Learn about the company's innovative platform, including the open-source autoML library TransmogrifAI, and gain valuable insights into experimentation, deployment, and monitoring processes. Delve into the challenges of providing data scientists with effective tools for model deployment and continuous iteration. Understand the importance of rapid iteration, automated model retraining, and shipping billions of predictions daily. Explore strategies for detecting issues, identifying improvement opportunities, and maintaining a data science backlog through alerting and monitoring systems. Gain practical knowledge on fostering data science innovation within an Agile framework and learn from Salesforce's experiences in scaling AI applications across a vast customer base.