AI NewsWaveNaver Cloud and Army Logistics Command Build Practical AI Logistics
Key points
- Naver Cloud signs agreement with Army Logistics Command
- AI to be applied across procurement, maintenance and logistics
- Military-specific procurement platform and digital twin logistics to be developed
Naver Cloud will work with the Army Logistics Command to build a "practical AI logistics" system that applies AI across all areas of military logistics, including procurement, maintenance and distribution. Naver Cloud announced it on Nov. 2. iNews24, Techworld News, The Elec, Digital Daily, Datanet, Chosun Biz, Tech M and AI Times reported the news.
The two sides signed the "Business Agreement to Optimize the Future Battlefield Environment and Strengthen Practical AI Logistics Capabilities" at the Army Logistics Command in Daejeon on Oct. 30, according to Techworld News, The Elec, Digital Daily, Datanet and Tech M. AI Times and Datanet wrote that Naver Cloud's CEO who signed the agreement is Kim Yu-won.
AI Times gave the most specific account of the areas of cooperation. The two organizations will jointly develop and test AI services for military logistics sites, including an AI-based military-specific procurement platform, condition-based maintenance (CBM+) and digital twin-based smart logistics. Digital Daily explained that they will push for field application to the procurement platform, weapon system maintenance and logistics management. Datanet mentioned as background an environment in which new weapon systems such as manned-unmanned teaming systems and drones are rapidly increasing.
Chosun Biz wrote that the plan is to apply AI and cloud technology to actual logistics sites to support the military's AI transformation (AX). Tech M highlighted in its headline that AI is being attached to the military supply system. AI Times covered the news within a roundup of brief items under "[Bulletin Board]." The term of the agreement and the investment size are not in the collected summaries.
Glossary Condition-based maintenance (CBM+) is a method of deciding when to service equipment based on information about its condition. A digital twin is a technology that replicates real equipment or spaces in a virtual space and runs simulations.