무선 통신 인프라 최적화를 위한 A-TLAS 분석 시스템
Discover how A-TLAS, an AI Co-worker solution, optimizes wireless network quality through complex data analysis, estimating transmission speeds and identifying optimization needs for telecommunication infrastructure.
AWS 클라우드에서 모던 데이터 플랫폼과 분석환경 구축하기
Discover how SK Telecom built a modern data platform on AWS, transforming their on-premise Datalake to cloud, featuring integrated analytics tools like Datahub, Jupyter, and QuickSight for enhanced data processing capabilities.
Managed Airflow Service Vane Development Journey
Dive into the development journey of Vane, a managed Airflow SaaS platform, exploring its architecture, implementation challenges, and valuable insights gained from operating data platforms at scale.
Data, AI, and Cloud: AI MSP Strategy with B2D2
Discover Bespin Global's B2D2 service framework for enterprise AI implementation, covering data analysis, architecture design, and end-to-end AI business support with proven methodologies from 5,000+ client cases.
Edge Box 활용법: 제조 현장의 디지털 팩토리 구현 전략
Discover how Edge Box technology revolutionizes manufacturing through real-time data processing, monitoring, and intelligent control systems for enhanced production efficiency and automation.
Data and Digital Tech Optimization for Field Operations - Case Study
Discover how SK Rentacar leverages data analytics and digital technology to optimize Jeju car rental operations, predict market demands, and implement automated service processes for enhanced business efficiency.
AI Project-Based Learning: Why and How - A Digital Transformation Approach
Discover how SK's AI Project-Based Learning program transforms workplace challenges into practical solutions while building essential AI capabilities and fostering digital transformation.
Modern Industrial Data Platform - Technical Deep Dive
Dive into SKT's innovative approach to modern industrial data platforms, exploring on-demand data mesh architecture and active metadata management for enhanced data pipeline efficiency.
Telco Data 기반 멀티 도메인 추천 엔진 - 협력적 게임이론 기반 순차 추천모델
Discover SK텔레콤의 혁신적인 멀티 도메인 추천 엔진 개발 과정과 구현 방법을 통해 데이터 기반 순차적 추천 시스템의 실제 적용 사례와 성과를 살펴보는 기술 세션
Spark를 활용한 반도체 비정형 데이터 처리 및 조회 서비스 혁신
Discover how to optimize semiconductor unstructured data processing using Spark architecture and Big Data technologies for enhanced analysis capabilities in high-tech manufacturing environments.
SKT LLM Enterprise 서비스 - 기업용 맞춤형 LLM 최적화 솔루션
Discover SKT의 맞춤형 LLM Enterprise 서비스 개발 과정과 기술적 접근 방식을 통해 기업 환경에 최적화된 AI 솔루션 구현 방법을 탐구하는 기술 세션
On-Premise Kubernetes and Airflow ETL Platform (Haflow) - Introduction and Implementation
Discover SK하이닉스의 클라우드 네이티브 ETL 플랫폼 Haflow의 구축 사례와 아키텍처를 통해 기존 ETL 솔루션의 한계 극복 방안과 리소스 최적화 전략을 파악하세요.
AI Technologies in Professional Baseball Broadcasting on A.tv
Discover how AI revolutionizes baseball viewing through A.tv's innovative features - from automated highlights and vertical short-form content to AI-powered match predictions and real-time analytics.
AI-Based Wafer Defect Detection Using Anomaly Detection - Real-Time Implementation
Discover advanced AI techniques for real-time wafer defect detection through unsupervised and semi-supervised learning, focusing on anomaly detection and segmentation in industrial manufacturing environments.
안전환경과 인공지능의 협력 - 제조현장의 안전사고 예방 시스템 구축
Discover how AI integration enhances workplace safety in semiconductor manufacturing through real-time accident prevention, worker monitoring, and efficient environmental management systems at SK Hynix.
CDP와 AI 추천모델을 활용한 고객 인사이트 확보와 개인화 서비스
Discover how Tmap Mobility leverages CDP and AI recommendation models to predict customer home/work locations and enhance personalized services through advanced data analytics.
Databricks Distributed File System (DBFS) vs Local Files on Spark Cluster Driver Node
Understand the key differences between Databricks File System (DBFS) and local driver node storage, exploring distributed storage capabilities and FUSE mount implementation for cloud data access.
Unlocking the Potential of Message Passing - Exploring GraphSAGE, GCN and GAT Networks
Dive into message passing techniques in Graph Neural Networks, exploring GraphSAGE, GCN, and GAT architectures for effective graph-based learning and network analysis.
Beyond AI Vector Database - Neural Search Implementation with GPT-4 and ChatGPT
Discover how to build a cost-effective neural search system using tokenizers, embedders, and similarity calculations as an alternative to Azure Cognitive Search for domain-specific AI applications.
Text-to-Graph with Large Generative Graph Models
Explore cutting-edge research on large generative graph models and their applications in biomedicine and cybersecurity through diffusion-based technology and text-to-graph conversion.
AI-Driven Drug Repurposing: Multi-Agent Approach in Bioinformatics
Explore how three AI agents work together to revolutionize drug discovery through molecular binding prediction, knowledge graph analysis, and scientific literature mining for faster medical breakthroughs.