Cloud-Native Machine Learning: Emerging Trends and the Road Ahead

Cloud-Native Machine Learning: Emerging Trends and the Road Ahead

Thursday, March 21
11:00 AM - 11:40 AM
Room 129-130

Big data platforms are being asked to support an ever increasing range of workloads and compute environments, including large-scale machine learning and public and private clouds. In this talk, we will discuss some emerging capabilities around cloud-native machine learning and data engineering, including running machine learning and Spark workloads directly on Kubernetes, and share our vision of the road ahead for ML and AI in the cloud.

Presentation Video

SPEAKERS

Tristan Zajonc
CTO for Machine Learning
Cloudera
Tristan Zajonc is CTO for Machine Learning at Cloudera. Tristan previously led engineering for Cloudera Data Science Workbench and was the cofounder and CEO of Sense, an enterprise data science platform that was acquired by Cloudera in 2016. He has over 15 years experience in applied data science, machine learning, and machine learning systems development across academia and industry and holds a PhD from Harvard University.