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Hyundai Motor Group Accelerates AI Transformation

AI Automation Recognition Service uses vision artificial intelligence and cameras installed on production lines to automatically read vehicle identification numbers (VINs).

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Hyundai Motor Group Accelerates AI Transformation

AI is an important technology, and a tool that companies must utilize.

What matters is not the technology itself, but how quickly an organization can understand new technologies, including AI, apply them to its work and business, and internalize them as a source of competitive advantage, says Eunsook Jin, President and Head of ICT Management Division, Hyundai Motor Group.

The Group has proactively advanced its digital transformation efforts since 2019. Building on accumulated data and a digitally enabled working environment, Hyundai Motor is now accelerating AI transformation across the organization.

It is expanding AI adoption across the organization through H Chat Pro – its proprietary generative AI platform.

H Chat Pro enables employees to securely access and utilize various external generative AI models, including ChatGPT, Gemini and Claude, within a protected environment.

Since 2025, the platform has been made available to all general employees rather than being limited to specific teams or functions. Employees are using generative AI in their daily work across a range of tasks, including document creation, information retrieval, data analysis and software development.

Moreover, employees with no software development background have begun creating and utilizing AI agents – custom tools configured for specific business problems – for their work using AI models available through H Chat Pro.

Hyundai Motor Group is also leveraging AI to improve quality management and operational efficiency across its manufacturing operations. Its AI Automation Recognition Service uses vision artificial intelligence and cameras installed on production lines to automatically read vehicle identification numbers (VINs) and verify that the vehicle on the line matches system records in real time.

Previously, workers manually verified this information through visual checks or system records. It enables teams to identify and address potential errors at an early stage.

Also Read: Energy Vault to Advance Integrated Power Infra for AI Data Centers

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