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How can enterprises embrace AI transformation? ‘5A Framework’ unveiled_我的网站

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An illustration of the “5A Framework” for enterprise intelligent transformation unveiled at the 2026 Digital Intelligent Economy Forum in Langfang, North China’s Hebei Province, on August 12, 2026. Photo: people.cn
    An illustration of the “5A Framework” for enterprise intelligent transformation unveiled at the 2026 Digital Intelligent Economy Forum in Langfang, North China’s Hebei Province, on August 12, 2026. Photo: people.cn     
    

The 2026 Digital Intelligent Economy Forum was held in Langfang, North China’s Hebei Province, on Wednesday. At the forum, organizer People's Daily Cultural Technology Corporation unveiled a “5A Framework” for enterprise intelligent transformation, aimed at helping businesses comprehensively innovate their business models, organizational structures and service systems in the artificial intelligence (AI) era.
A To A: Exploring new models for agent collaboration
AI is pushing the internet into a new stage characterized by the widespread participation of AI agents. In the future, China could develop an ecosystem comprising tens of billions of agent applications, while the global “digital population” could reach hundreds of billions. Following To B (business-oriented) and To C (consumer-oriented) models, enterprises and institutions should actively explore the emerging To A (agent-oriented) model. To enable better interaction and coordination among agents, unified data, technology, interface and service standards need to be established, while new business systems and service models should be cultivated.
AI-friendly: Building machine-readable data infrastructure
Today’s internet user interfaces are primarily designed for human browsing. The first step, therefore, should be to build an “AI-friendly” data system that is better suited to being read, understood and accessed by AI. By structuring content resources and turning them into organized knowledge, while strengthening ontology systems and knowledge graphs, such a system can improve AI’s ability to understand and apply information. On this basis, integrated hardware and software infrastructure combining computing architecture with data systems can be developed for AI applications.
AI-native teams: Reshaping organizations and workflows
AI is profoundly reshaping organizational structures and ways of working. AI-native teams should redefine job responsibilities, organizational structures and business processes around the A-To-A model and AI-friendly services, enabling “everyone to have multiple AI agents.” Professional capabilities and business experience can be encapsulated into “digital employees,” promoting autonomous learning by agents, multi-agent collaboration and the evolution of collective intelligence, thereby multiplying per-capita productivity.
AI for good: Putting values first, serving social development
AI also requires values-based guidance. Guided by the principle of “being people-centered and using AI for good,” efforts should follow the approach of “governing AI with AI and guiding intelligence with wisdom,” ensuring that AI always serves social development, the public interest and people’s needs. The “Mainstream Values Corpus,” whose development was launched by the People’s Daily in May 2023, has already begun to take shape and has been validated through numerous large-model applications.
Inclusive AI: Protecting cultural diversity, advancing global sustainable development
AI should not become merely “a game for rich countries and rich people,” but should benefit all countries. Efforts should be made to actively participate in global initiatives for inclusive AI, bridge the digital and intelligent divide, and enable more organizations and individuals to share the benefits of development on an equal footing, so that AI can truly become a powerful positive force for improving the well-being of all humanity and advancing human civilization.
This was translated and compiled by the Global Times, based on an article originally published on people.cn on August 12, 2026.

。    [사진 뮤즈엠] 글로벌 아티스트 IP 기업 뮤즈엠(대표 박수왕·김현호·김상엽)이 중소벤처기업부와 중소기업기술정보진흥원(TIPA)의 2026년 ‘글로벌 팁스(Global TIPS) R&D’ 과제에 최종 선정됐다. 뮤즈엠은 이번 과제를 통해 50억원 규모의 정부 연구개발(R&D) 자금을 지원받아 ‘RF 멀티센서 기반 실시간 인파 안전관리 및 사고 예측 AI 시스템’을 개발한다. 글로벌 팁스 운영사 캡스톤파트너스의 투자와 추천을 통해 과제에 참여했다. 개발 시스템은 공연장에 설치된 RF(전파) 멀티센서를 활용해 관객의 이동과 밀집도를 실시간으로 파악하고 수집된 데이터를 AI로 분석해 혼잡 위험이 예상되는 구역과 시간대를 예측하는 기술이다. 이를 통해 카메라 영상이나 개인식별정보 수집 없이 인파 움직임을 분석하고 현장 운영자의 관객 동선 조정과 안전 인력 배치를 지원한다.                    박수왕 뮤즈엠 CD(왼쪽)와 왕문주 NHN링크 대표. [사진 뮤즈엠] 뮤즈엠은 RF 센싱 및 AI·플랫폼 분야 전문기업들과 컨소시엄을 구성해 기술 개발과 실증을 진행한다. 국내 공연장과 전시장에서 검증한 뒤 K-팝 월드투어가 열리는 해외 대형 공연장과 글로벌 페스티벌 등으로 적용 범위를 확대할 계획이다. 뮤즈엠은 작년 아스트로의 단독 콘서트 ‘The 4th ASTROAD [Stargraphy]’의 인천 인스파이어 아레나와 일본 후쿠오카 페이페이돔 공연을 주관하는 등 대형 공연 운영을 진행해 왔다. 올해 4월에는 티켓링크 운영사 NHN링크와 글로벌 K-팝 공연 프로젝트 추진을 위한 전략적 파트너십도 체결했다. 김현호 뮤즈엠 대표는 “대형 K-팝 공연 현장에서 축적한 운영 경험을 기술 개발에 접목할 것”이라며 “국내 실증을 거쳐 해외 공연장과 페스티벌까지 적용 범위를 확대해 나갈 계획”이라고 말했다.。

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