Driving Sustainable Efficiency and Solving Business Challenges with AI

Wondering where to start your AI journey?
Partnering with experts who bring deep industry experience and proven know-how makes all the difference.

At Doosan Corporation Digital Innovation BU, we provide clear answers to the “What, How, and Why” of AI adoption.
From strategy to execution, we know what it takes to turn ideas into reality.

We empower global customers to successfully adopt and scale AI through three strategic pillars: AI-Driven Business, Foundation, and Experience.

AI-Driven Business supports AI-based problem solving and
business innovation through the stages of AI Discovery, AI Build, and AI Operation.

Business Process

1. AI  Discovery

2. AI Build

3. AI Operation

AI-Driven Process Innovation

Identify tasks for improvement from an end-to-end process perspective rather than individual functions, and connect them through AI Agents to deliver tangible business improvement.

AI-Driven Product Innovation

Based on customer needs and pain points, leverage suitable AI technologies (Classic AI, Generative AI, etc.) to introduce new services and enhance the competitiveness of existing products and services.

We accelerate enterprise AI transformation by providing an optimal AI foundation for secure model development and sustainable AI operations.

Level 3 AI/Data Platform

Based on enterprise system experience, integrate systems required for AI model training. Provide an AI learning and operating environment through MLOps functions such as data integration, model training, deployment, and management.

Level 2 AI Model (AI Portal)

Depending on enterprise objectives, security, and budget, enable rapid testing and use of internal models, open-source models, or LLMs from Azure, AWS, and Google.

Level 1 AI Infra (GPUaaS)

GPUaaS (GPU as a Service) allows enterprises to flexibly use resources for AI training and operations without owning expensive hardware.

Many companies are entering the AI space, and AI performance is advancing rapidly every day.
Our experience, expert teams, and leadership in AI transformation and digital transformation (DT) across the Doosan Group are the reasons why partnering with us makes sense.

Providing AI services that comply with global partnerships, sustainable service standards, and security policies

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  AI Experts

  Possess diverse infrastructure experience, know-how, and specialized teams to deliver end-to-end services from implementation to operation.

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  Partnerships

  Offer globally standardized AI solutions through partnerships with global vendors such as SAP and Salesforce.

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  Stability

  Integrate the value chain of design, implementation, and operation to ensure reliable service delivery.

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  Agility

  Design and operate Doosan Group’s IT system architecture directly, enabling rapid response.

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  Security

  Provide a secure AI environment based on the group’s security policies and internal regulations.

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  Doosan Group - AI Infra Doosan Group has strengthened its AI capabilities by building an integrated AI Sandbox platform that provides high-performance AI infrastructure and optimal resource management, immediately available within a secure enterprise environment.

  
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  Hanwha TotalEnergies – AI Services Implemented a Generative AI regulatory and policy gap analysis service using AWS LLM and the proprietary RAG Pipeline developed by Doosan Corporation Digital Innovation BU, establishing a compliance framework for safety and environmental regulations. Additionally, introduced conversational AI services to improve operational efficiency.

  
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  Doosan Enerbility – AI Model, AI & Data Platform, AI Services Built LLM Playground, a customized testing environment for enterprises, enabling safe testing and effective utilization of various AI models.Introduced AI-based wind power generation forecasting services to improve operational efficiency and establish a stable power management system.Applied AI predictive models for electric furnace process optimization, enhancing process operations and improving production efficiency.