Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Joshua Patterson

Joshua Patterson
Director, AI Infrastructure, NVIDIA

@datametrician

Joshua Patterson is a director of AI infrastructure at NVIDIA leading engineering for RAPIDS.AI. Previously, Josh was a White House Presidential Innovation Fellow and worked with leading experts across public sector, private sector, and academia to build a next-generation cyberdefense platform. His current passions are graph analytics, machine learning, and large-scale system design. Josh loves storytelling with data and creating interactive data visualizations. He holds a BA in economics from the University of North Carolina at Chapel Hill and an MA in economics from the University of South Carolina Moore School of Business.

Sessions

14:05–14:45 Wednesday, 23 May 2018
GPU-accelerated threat detection with GOAI
Big data and data science in the cloud, Data engineering and architecture, Data-driven business management, Emerging technologies and case studies, Platform security and cybersecurity, Streaming systems and real-time applications
 Location: Capital Suite 7 Level: Intermediate
Secondary topics:  Security and Privacy
Joshua Patterson (NVIDIA), Chau Dang (NVIDIA)
Joshua Patterson and Mike Wendt explain how NVIDIA used GPU-accelerated open source technologies to improve its cyberdefense platforms by leveraging software from the GPU Open Analytics Initiative (GOAI) and how the company accelerated anomaly detection with more efficient machine learning models, faster deployment, and more granular data exploration. Read more.