Asia Economy Future Enterprise Forum on the 22nd
Presentation by Lee Jin-hwan, Head of HL Mando Software Campus

"With the transition to Software-Defined Vehicles (SDV), the software (SW) development cycle has accelerated, increasing challenges in securing development personnel, time, and SW quality. This is why HL Mando, an automotive parts company, has turned its attention to AI."


Jinhwan Lee, Head of Software Campus (Executive Director) at HL Mando, said this on the 22nd at the '2024 Asia Future Enterprise Forum' held at Lotte Hotel in Jung-gu, Seoul. Lee stated, "Customer needs are diverse and ambiguous, so classification and organization are necessary," adding, "If even one verification is missed in this process, it can lead to quality degradation, so we looked for cases where AI could be actively utilized."


Jinhwan Lee, Head of HL Mando Software Campus, is giving a lecture at the '2024 Asia Future Business Forum' hosted by Asia Economy at Lotte Hotel in Jung-gu, Seoul on the 22nd. Photo by Hyunmin Kim kimhyun81@

Jinhwan Lee, Head of HL Mando Software Campus, is giving a lecture at the '2024 Asia Future Business Forum' hosted by Asia Economy at Lotte Hotel in Jung-gu, Seoul on the 22nd. Photo by Hyunmin Kim kimhyun81@

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HL Mando, an automotive parts company, sees great potential for AI utilization in research and development (R&D) and manufacturing sectors. In particular, it defined areas within SW R&D that have relatively abundant data and high usage frequency and expected effects. Subsequently, it identified the pain points in development in each area and defined 23 cases that could be solved with AI.


Based on this, HL Mando established a step-by-step roadmap for digital transformation. The first step aims to innovate the vehicle SW development process using AI, followed by building integration between the in-house SW platform (MCSP) and AI. Finally, the plan is to apply an AI-powered SW ecosystem to the entire company as well as the global market.


This approach will not only improve productivity but also secure SW quality and development capabilities, while shortening the time from product development to launch. It reduces the time spent classifying and analyzing customer requirements and generalizes SW resources developed once for reuse. This directly leads to cost reduction.


Lee mentioned that security issues are one of the biggest concerns in vehicle SW development. Since HL Mando’s customers include automobile manufacturers competing in the global market, maintaining security for each company’s orders is paramount. Lee said, "Because we must maintain customer security, it is difficult to directly use open-source-based AI in publicly developed SW," adding, "We are making efforts to utilize lightweight language models (sLLM) that handle specific data and to integrate them into our in-house cloud platform through a proprietary customization process."



On the 22nd, a panel discussion on the theme "Why AI Transformation?" was held at the '2024 Asia Future Business Forum' hosted by Asia Economy at Lotte Hotel in Jung-gu, Seoul. From the left: Jang Byeongtak, Director of AI Research Institute at Seoul National University; Kwon Youngjun, Head of Samsung SDS Research Institute; Kim Minsu, AI and Big Data Management Leader at CJ Logistics; Ham Cheolhee, Master of Samsung Electronics Visual Display Division; Lee Jinhwan, Head of Software Campus at HL Mando. Photo by Kim Hyunmin kimhyun81@

On the 22nd, a panel discussion on the theme "Why AI Transformation?" was held at the '2024 Asia Future Business Forum' hosted by Asia Economy at Lotte Hotel in Jung-gu, Seoul. From the left: Jang Byeongtak, Director of AI Research Institute at Seoul National University; Kwon Youngjun, Head of Samsung SDS Research Institute; Kim Minsu, AI and Big Data Management Leader at CJ Logistics; Ham Cheolhee, Master of Samsung Electronics Visual Display Division; Lee Jinhwan, Head of Software Campus at HL Mando. Photo by Kim Hyunmin kimhyun81@

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