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AI & Enterprise

Conditions for the fastest AI-native engineering team

Andrew Ng (응) of Stanford University posted a summary of how AI-native software teams operate differently from traditional teams. He wrote that the biggest difference is using coding agents to build products much faster, which changes team structure, roles and decision-making. As development speeds up, planning, design, marketing and compliance can become bottlenecks. Ng urged engineers to learn product management skills and product managers to learn how to build. He also stressed the value of working in the same space for faster communication.

AI & Enterprise

MegazoneCloud wins Korea National Railway\'s construction project management system upgrade contract

MegazoneCloud said on Sunday it won a contract to upgrade Korea National Railway\'s construction project management system. Working in a consortium with HumanPlus, Gonggam IT and AENIAsOFT, it will move the system to a cloud environment and build a data-centric integrated management framework. The consortium will implement a cloud IT environment, enhance integrated construction project management, establish a project data management system and add new functions for private investment projects.

AI & Enterprise

South Korea overhauls ICT R&D program manager system, expands AI roles

South Korea\'s Ministry of Science and ICT said on Tuesday it has overhauled its private expert program manager system for ICT research and development to focus on artificial intelligence, as it seeks to become one of the world\'s top three AI powers. The ministry expanded the AI PM role into four areas and added new PM posts for regional AX and manufacturing AX. It also said it will appoint six new PMs with field expertise.