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Big Data Systems for Machine Learning and Telco Infrastructure Transformation

SK AI SUMMIT 2024 via YouTube

Overview

Learn about optimizing big data systems for machine learning and telecommunications infrastructure in this 25-minute conference talk from SK AI SUMMIT 2024. Explore how AI and big data processing extract insights from vast datasets through Prediction Queries, which combine data processing and machine learning model predictions. Discover Raven, an innovative big data system that optimizes Prediction Queries by integrating data and machine learning pipelines. Examine methods for improving query performance using hardware accelerators like GPUs and FPGAs, and investigate potential applications in Telco AI. The speaker, Dr. Kwanghyun Park from Yonsei University, brings extensive expertise from his time at Microsoft Gray Systems Lab and his research focus on big data system optimization for machine learning and hardware-based query processing.

Syllabus

Big Data System for ML And Transformation of Telco Infrastructure | 연세대학교 박광현

Taught by

SK AI SUMMIT 2024

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