The competitiveness of the lighting industry hinges on light source control semiconductor platforms.
Published2026.07.31 08:53LED 조명 시장의 경쟁 축이 단순한 에너지 절감에서 전력 품질, 센싱, 연결성, 설계 플랫폼으로 이동하고 있다. 조명은 더 이상 램프를 LED로 바꾸는 교체재가 아니라, 건물·공장·도시 인프라의 전력 효율과 디지털 제어를 좌우하는 시스템 반도체 시장으로 재편되고 있다. 이런 가운데 인피니언(Infineon)이 상업용·산업용 LED 조명 애플리케이션과 시스템을 위한 광범위한 반도체 솔루션을 제공하며, LED를 스마트 인프라로 전환하는데 본격 나서고 있다.
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The Problem with AI is Not Performance, but Trust
CEO Kang Min-seung emphasized at Snowflake's World Tour Seoul that generative AI has entered a phase where "trust" rather than accuracy becomes the key competitive advantage. As AI is applied to various tasks including consultation, risk management, and operational automation, incorrect data, erroneous responses, and bias are creating actual business risks. He pointed out that enterprises must build a trust layer above AI. To achieve this, accurate data management, semantic structuring, governance, and prompt security are essential. He explained that AI is not merely an automation tool but a technology that reorganizes the entire organization's workflows and decision-making systems. Snowflake provides a platform that supports this trust-based AI operation, emphasizing that enterprises should build "trustworthy AI" rather than "intelligent AI."
2026.08.28by 배종인 기자
The Decisive Factor for AI Agents in Finance: "Trustworthy Data Infrastructure"
The key to spreading AI agents in the financial sector is establishing a trustworthy data system. KB Kookmin Bank is operating over 100 AI agents by 2025 and is promoting expansion to 300. AI is automating repetitive tasks across various areas such as consultation, risk management, wealth management, and relationship management. However, if data quality, governance, and semantic structuring are insufficient, errors and risks increase. KB is building an AI-Ready organization through a multi-model strategy of GPT, Gemini, and Claude, as well as a Snowflake-based data system. The bank emphasized that AI has entered a phase where it restructures not just simple automation but the entire work process and decision-making system.
2026.08.28by 배종인 기자
Snowflake Presents Data Platform Roadmap for Agentic AI Era
Snowflake emphasized at the Seoul roundtable that the key to enterprise AI proliferation lies in "Agentic AI" and the integration of data and workflows. Bala Kasivisvanathan stated that AI is evolving beyond simple analytics to become the driver of task automation and operational optimization, and that organizations must strengthen their data quality, processes, and governance as prerequisites for this. CJ OliveNetworks introduced that it is currently expanding AI applications in logistics and operational automation. Snowflake stressed that companies need a strategic shift to connect AI adoption to tangible business impact.
2026.08.28by 배종인 기자
"All office workers will become agent managers"
‘델 테크놀로지스 포럼 2026’에서 델 테크놀로지스(Dell Technologies) 본사 맷 던피(Matt Dunfee) 수석부사장은 AI 시대에는 모든 직장인이 수십~수천 개의 에이전트를 관리하는 역할을 맡게 된다고 전망하며, 기존 업무에 AI를 덧붙이는 방식이 아니라 프로세스 자체를 재설계해야 한다고 강조했다. AI 도입 성패는 기술보다 비용 효율성과 데이터 준비, 그리고 AI 경제성·프로토타이핑·변화관리에 달려 있다고 지적했다.
2026.08.28by 배종인 기자
Sang-Mo Yu, Dell President: "AI Is Now Infrastructure—Integrated Approach to Security, Power, and Data Centers Is Essential"
At Dell Technologies Forum 2026, Sang-Mo Yu, President of Dell Technologies Korea, emphasized that AI has transcended the role of a productivity tool to become core infrastructure for enterprises and everyday life, underscoring the necessity of a hybrid AI infrastructure strategy integrating power, cooling, security, and data centers. He disclosed that he utilizes more than 20 AI agents daily and identified embedded security and the absence of unified roadmaps as major challenges for enterprises.
2026.08.28by 배종인 기자
