Contact us

AI

AX Platform
AX Platform Trends

The rapid advancement of generative artificial intelligence (AI) is driving innovation across all areas of business operations. As a result, AI Transformation (AX) has become a core strategy for enterprise growth.

 

AX platform has evolved beyond a development tool into an integrated infrastructure that accelerates AI adoption across the business. From data collection and management to services and operations, AI projects are becoming increasingly complex, with more factors that need to be taken into account. As a result, the role of the platform in systematically addressing these complexities continues to grow.

 

As more businesses seek to apply AI across various functions, technologies such as multimodal learning, Retrieval-Augmented Generation (RAG), and vector Databases (DB) are advancing rapidly. These technologies enable enterprises to effectively connect complex data with diverse business requirements, delivering tangible business outcomes.

New Competitive Edge for Enterprise Innovation: AX Platform
Unified AX Platform

The AX platform supports the full AI service lifecycle from development and deployment to operations and management within a unified environment, maximizing efficiency and stability across enterprise initiatives.

It ensures consistent management and utilization of AI assets, helping clients rapidly adopt generative AI services. Even in distributed environments, the platform offers integrated security and governance to minimize risk.

With a flexible architecture, it adapts to new technologies and ensures scalable, efficient operations across on-premises and cloud systems. This enables companies to fully realize the value of AI and drive sustainable innovation.

Creating Business Value with Generative AI

Generative AI goes beyond text generation. It is now a core technology transforming how businesses operate and engage with customers.

On the AX platform, Generative AI boosts productivity and efficiency across various functions. Combined with technologies like multimodal learning, RAG, and vector DB, it enables advanced features such as knowledge-based responses and content generation. The AX platform provides a reliable foundation for building and operating these capabilities, delivering tangible outcomes that turn AI into business competitiveness.

LG CNS's AX Platform

Faster, Simpler AI Service Development

LG CNS’s AX platform provides an all-in-one environment for developing and managing AI services across domains such as text, knowledge, and images. With Prompt templates, prebuilt AI modules, and an intuitive UI, non-experts can easily create services. The complex model setup and deployment process is automated, greatly lowering the entry barrier.

Systematic AI Service Operations

AI services require more than just development. They need stable and sustainable operations. LG CNS’s AX platform provides integrated features such as monitoring, LVMOps, and LLMOps to minimize the operational burden after deployment. It also offers a governance framework to securely manage information assets across the enterprise.

Fast Adoption of Various Emerging Technologies

As generative AI technologies rapidly evolve, including multimodal learning, RAG, vector DB, and LLMOps, LG CNS’s AX platform helps companies quickly internalize these new technologies and implement them as customized solutions. This allows businesses to adopt new technologies faster and continuously strengthen their competitiveness.

AX Platform Architecture by LG CNS
LG CNS Solutions Completing the AX Platform
DAP GenAI Knowledge Lake

DAP GenAI Knowledge Lake is a knowledge repository built on the AX platform. It helps unify fragmented enterprise information into structured, meaning-based knowledge and supports systematic management and utilization. It transforms large volumes of documents into knowledge through optimized pipelines and applies governance that spans security, access control, and standards. By using advanced search technologies and large language models, it provides accurate answers that can be used directly in business tasks. This enables seamless integration of enterprise knowledge and accelerates AI based business innovation.

Fast and Easy Implementation of Knowledge Data

Transforms large volumes of documents into knowledge using optimized pipelines

Monitoring & Governance

Monitors the application and usage of governance policies, including security, access control, and standards.

Knowledge-Based Search

Provides answers using vector and hybrid search along with various LLM models.

DAP GenAI Image

DAP GenAI Image is a platform that enables fast and easy creation and editing of enterprise image content based on image generation AI technology. It uses multimodal technology to understand and process various types of data such as text and images, supporting the generation of content for marketing, product design, and more. In addition, it allows companies to fine-tune models using their own images and manage outputs for more precise business use.

Studio

Generates and edits target images using customized AI models.

Gallery

Shares generated images and trained models for browsing and creating new images.

LVMOps

Fine-tunes AI models using image data owned by the enterprise.

DAP GenAI Text

DAP GenAI Text is an AX platform for developing and deploying language generation AI services such as document summarization and report writing.

It offers features like ‘AI Prompt’ for experimenting with various LLMs, ‘AI Service’ with built-in scenarios, and ‘LLMOps’ for fine-tuning both OSS and owned models to fit enterprise needs. It also includes ‘Enterprise Fit Governance’ to support policy enforcement and enterprise-grade compliance.

AI Prompt

Provides validated prompt templates by type and allows sharing across the organization, projects, and other users.

AI Service

Enables easy creation and deployment of LLM services through a Low Code Graphical User Interface (GUI).

LLMOps

Generates and deploys enterprise-optimized LLMs using owned models, with one-click deployment.

DAP MLDL

DAP MLDL (Machine Learning·Deep Learning) is an enterprise-level AI analytics platform that enables anyone to easily analyze data and build AI models. It provides integrated management of the full AI lifecycle including data collection, analysis, training, model creation, deployment, operation, and monitoring.

Fast and Easy Analytics

Provides a low-code analytics environment through GUI.

MLOps

Supports stable large-scale and real-time inference based on strong governance.

Expertise from Customers

Delivers world-class AI services backed by extensive experience gained from serving the largest client base in Korea.

DAP Vision

DAP Vision is a platform based on visual deep learning that enables the easy and fast creation of visual models, helping enterprises apply AI to industrial environments. It supports the entire process from data processing and AI modeling to deployment and operation, enabling smarter workflows.

Enterprise-Fit Lifecycle Management

Manages the Full AI Lifecycle from training to inference, monitoring, and retraining.

Intuitive and Powerful Learning Capabilities

Provides intuitive UI/UX and No-Code tools that allow business users to train models directly.

Large-Scale, High-Speed Inference

Supports large-scale, high-speed and real-time inference proven in global manufacturing environments.

FAQ
  • Even when external LLMs are used, enterprise internal data is not exposed externally. It is securely managed through security and governance policies.

  • Hallucination, which refers to generative AI producing false or distorted content, is resolved by leveraging internal information assets such as client-owned documents and data.

  • Yes. The AX platform offers an intuitive GUI and in-house generative AI models, enabling non-developers to easily create desired outputs without complex technologies. Business users in planning, marketing, and operations can directly use the platform to increase productivity.

  • The AX platform is designed to flexibly support cloud, on-premises, and hybrid environments, enabling clients to implement and operate it according to their environment.

Move to top