한국AI사물인터넷협회와 한국정보통신기술협회(TTA)가 개최한 Matter 칩셋 파트너사 개발·데모 데이에서 김기범 한국정보통신기술협회 수석은 ‘TTA 지능형 홈 지원사업 및 Matter 국제공인시험소 소개’를 주제로 발표하며, Matter 표준에 맞춰 국내 기업이 인증 전략을 조기에 세우고, 국내 시험 인프라를 적극 활용해야 한다고 밝혔다.
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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"
At the Dell Technologies Forum 2026, Matt Dunfee, Senior Vice President at Dell Technologies headquarters, forecast that in the AI era, every worker will take on the role of managing dozens to thousands of agents, and emphasized that rather than simply adding AI to existing tasks, processes themselves must be redesigned. He pointed out that the success or failure of AI adoption depends not on technology itself, but on cost efficiency, data preparation, and AI economics, prototyping, and change management.
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

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Matter Certification: Faster and Lower Cost Support in Korea


















