LATEST TECH ARTICLES

Enterprise AI OS is the operating layer that runs and governs an enterprise's many AI Workspaces & Agents and business resources under one shared policy. Across AI maturity Levels 0–4, the bottleneck sits between Level 2 and Level 3 — and that line is crossed with an operating system, not a bigger model. Governed Capability Skills, a Security & Policy Harness, a Tool/Resource Gateway, and AI Supervision build a scalable enterprise AI operating foundation that is not tied to a

Shadow AI was involved in 43% of breach incidents, and 74% of Korean companies name AI as their single largest data security risk. Here is an 8-point checklist a 30–300 person company with no dedicated AI team can run in two weeks.

A Forward Deployed Engineer (FDE, On-Site Engineer) is an engineer who embeds directly within a client's team to understand the actual mechanics of their business. They identify where AI belongs (and where it doesn't) and take full responsibility for building, deploying, and operating production-grade AI on top of existing enterprise systems. Target Audience: Mid-market enterprises looking to adopt generative AI but struggling to move past the Proof of Concept (PoC) phase. •

앤트로픽 공식 파트너 테크에이스가 광역시애틀한인회, 시애틀한국일보와 함께 연 AI세미나에 60여 명이 몰렸습니다. AI를 진짜 비즈니스 도구로 만드는 법을 정리했습니다.

Gartner says 85% of AI failures come down to data-quality problems. Here are the 3 failure patterns repeatedly seen in SMBs and mid-sized companies in Korea and the U.S., plus a 20-item self-diagnosis checklist to run before adoption. Of these, only 8 truly require humans.