Search results for Encoa
AI & Enterprise
Agentic AX needs AI-ready data built first
Kim Ki-dong (김기동) of AI and data specialist Encoa said differences in AI agent results come from data readiness, not the model. He said many firms saw strong results in PoC and demos but struggled in real operations because legacy data lacks clear meaning, links and context. He defined AI-ready data as data AI can understand and trust. Encoa implements this with a “context map” and proposes semantic models and two graphs to find data and generate answers.
AI & Enterprise
Agentic AX that delivers results requires proper preparation first
Corporate investment in agent-based AI work innovation, known as agentic AI transformation (AX), is rising, but experts say implementation is harder than expected without preparation. At DigitalToday’s Digital Insight 2026 conference in Seoul, specialists from SK Telecom, MegazoneCloud, Hana Bank, Encoa, Nol Universe and Nvidia Korea shared practical experience. Speakers stressed defining tasks and authority, building AI-ready data, maintaining trust and control in finance, and securing orchestration and infrastructure.
AI & Enterprise
DigitalToday to hold Digital Insight 2026 on data-first strategy for agentic AI
AI adoption is spreading in the enterprise market, but many assessments say it has not often translated into real results. The industry stresses that companies seeking benefits from AI, especially agentic AI, should first build a data foundation that agents can trust and act on. DigitalToday will hold the Digital Insight 2026 conference on Sept. 29 at COEX in Seoul. Speakers include Encoa, MegazoneCloud, SK Telecom, Nol Universe and Nvidia Korea.
