Panel talk on latest advancements on GPU acceleration for streaming big data & AI inferencing

Panel talk on latest advancements on GPU acceleration for ML/AI inferencing and streaming big data. To discuss about different technical advancements to process Millions of events/sec both for Streaming Big Data & AI Inferencing use cases

Who is this presentation for?

Prerequisite knowledge:

What you'll learn?

Satish Varma Dandu is a principal data science and engineering manager at NVIDIA, where he leads teams that builds massive end-to-end big data and deep learning platforms, handling billions of events per day for real-time analytics, data warehousing, and AI platforms using deep learning to improve the user experience for millions of users. Previously, Satish led data engineering teams at startups and large public companies. His areas of interest are in building large-scale engineering platforms, big data engineering, GPU data acceleration, and deep learning. Satish holds an MS in computer science from the University of Houston