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InfoQ Homepage Presentations Designing Automated Pipelines for Unseen Custom Data

Designing Automated Pipelines for Unseen Custom Data



Kevin Moore discusses some challenges in designing automated machine learning pipelines that can deal with custom user data that it has never seen before, as well as some of Salesforce’s solutions.


Kevin Moore is a senior data scientist at Salesforce where he works on automated machine learning pipelines to generate and deploy customized models for a wide variety of customers and use cases. He has a PhD in astrophysics and prior to becoming a data scientist he worked on modeling how stars evolve and eventually explode.

About the conference

PAPIs is the conference made by and for ML practitioners. Anyone can submit talk proposals (blind-reviewed by our committee) or ask questions to take discussions further. Breaks between sessions are perfect to get to know fellow attendees, speakers, and top ML companies.

Recorded at:

Jan 06, 2019