Technological Strategy
  • LG CNS 기술전략 브랜드

  • LG CNS leads its clients’ digital innovation by using its digital technologies.
  • R and D 이미지
Main Areas of Research
Industry-IT Convergence
We perform research and development on industrial IT solutions by integrating experiences from numerous projects in various industries and on-site operations of global companies with the latest IT technologies, such as ICBM (IoT, cloud, big data, and mobile), artificial intelligence (AI), predictive maintenance, and optimization algorithms.

  • - Smart Factory / Logistics Solutions, Model Driven Development(MDD) Based Financial Solutions—Banking, Card & Insurance, Energy Management Solutions, Transportation Solutions, IoT Security Solutions, Mobile Ordering / Payment Solutions, Healthcare Solutions
Cloud & Architecture
We perform research and development on advanced technologies and platforms as follows: cloud platforms, cloud services / data distribution technologies for optimized services, and frameworks, tools and system middleware for enhancing IT lifecycle such as analysis, design, development and performance monitoring.

  • - IaaS, SaaS, PaaS, Cloud Service Brokerage, Micro Service Architecture
  • - Model Driven Development(MDD), Development Frameworks, Automation Tools for Development / Testing
  • - Open Source Based Enterprise Web / WAS Servers, Application Performance Management Solutions
Artificial Intelligence
We perform research and development on technologies for deep learning algorithm optimization (e.g., convolutional neural networks) and data processing, applications and relevant systems for artificial intelligence (AI), and GPGPU infrastructure.

  • - Deep Learning Based Image & Object Recognition, Detection Algorithms, Reinforcement Learning Algorithms
  • - Deep Learning Based Natural Language Understanding, Emotion Recognition Algorithms
  • - Self Machine Learning, GPU Machine Learning Engines, AI Clouds, CUDA Based Application Frameworks
Big Data Analytics
We perform research and development on technologies for collecting, saving and managing structured and unstructured big data, and real-time high-performance analytics technologies for extracting meaningful information.

  • - Hadoop / Hadoop Ecosystem Technologies, Big Data Platform Technologies for Collection / Storage / Processing / Management
  • - R Based Analytics Platforms, High Performance Analytics Algorithms
  • - Machine Learning Based Real-time Local Analytics, Embedded Analytics Container Technology

R&D Organizations
Information Technology Research Center, AI Big Data Business Department, Financial Automation Research Center, Smart Factory Solution Team, Energy Solution Team, Medical Solution Team, Transportation Solution Team, Architecture Solution Team