Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Dan Crankshaw

Dan Crankshaw
Graduate Student, UC Berkeley RISELab

Dan Crankshaw is a PhD student in the CS Department at UC Berkeley, where he works in the RISELab. After cutting his teeth doing large-scale data analysis on cosmology simulation data and building systems for distributed graph analysis, Dan has turned his attention to machine learning systems. His current research interests include systems and techniques for serving and deploying machine learning, with a particular emphasis on low-latency and interactive applications.


9:00am–12:30pm Tuesday, 09/11/2018
Location: 1E 06 Level: Intermediate
Secondary topics:  Model lifecycle management
Dan Crankshaw (UC Berkeley RISELab)
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Dan Crankshaw offers an overview of the current challenges in deploying machine applications into production and the current state of prediction serving infrastructure. He then leads a deep dive into the Clipper serving system and shows you how to get started. Read more.