LATEST TECH ARTICLES

In the previous article we explained what an FDE (Forward Deployed Engineer) is and how one works in the field.This article is a record of applying that approach inside a development and operations organization. In work that repeats every day — the deployment pipeline, incident response — it covers which segments AI should go into and which should be left to people. AT A GLANCE DETAILS Who this is for Leaders of development and operations organizations facing a growing deploy

In our previous article we explained what an FDE (Forward Deployed Engineer) is. This article introduces what an FDE actually does in the field. Across multiple AX projects we conducted a large number of interviews, and in the course of those diagnostics we identified many pain points. We explain the common root causes behind those pain points, and what TecAce solved with AI and how it was solved. In this article, AX refers to AI Transformation — applying AI to work in order

Samsung AI Forum 2026, held 30 September at Samsung Electronics' Seocho office. Under the theme 'The Agentic Shift: From Intelligence to Impact', twelve sessions from OpenAI, AWS, Anthropic, Dell and Samsung Research - condensed into one read.

When AI projects fail at mid-market companies, it is rarely the technology. It is almost always which project got picked. Here are six failure patterns, a three-question filter for the first project, and five real projects chosen that way.

직원의 5%가 디자이너, 95%가 개발자. 스크린샷으로 시안을 주고받던 회사가 Claude Design을 Claude Code 안에 넣고 8주 만에 벌어진 일. 화면 하나에 3.5일 걸리던 게 1일로, 브랜드 리뷰 반려율 34%가 6%로. 비결은 AI가 아니라 tokens.css 한 파일이었다.

How per-speaker text signatures lifted overall accuracy from the low 40s to 58% (and to 83% for speakers with history), and the ten plausible ideas we killed with data along the way.

From high-volume Metric/Trace/Log pipelines to AI and LLM anomaly detection, deployment and operations automation, and SLI/SLO-based 24x365 operations - how TecAce builds AIOps on its own R&D solutions and delivers it on site through FDEs.

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.

CCAF (Claude Certified Architect – Foundations) Certification-Based Registration — June 5, 2026 TecAce Software, LTD. (hereafter TecAce) officially joined Anthropic's official partner program, the Claude Partner Network, as of June 5, 2026. The registration follows TecAce engineers earning CCAF (Claude Certified Architect – Foundations), the first official technical certification issued by Anthropic. Below, we cover TecAce's registration alongside the structure of the CCAF ce

KEEP AI ON BRAND The Role of AX Hub, Skill, and Governance If AI can't be stopped, it must be made to work within the brand. AX Hub is the brand operating system for the AI era. Key Message If AI can't be stopped, it must be made to work within the brand. Executive Summary Many companies have brand guidelines. But most exist only as PDFs — created once, filed away, and consulted only when needed. The problem is that AI doesn't automatically follow that PDF. For AI to produce

WHO APPROVED THIS AI DESIGN? Consistency Matters More Than Speed Making something fast doesn't make it good design. A brand isn't protected without review. Key Message AI has made it possible for anyone to design, but not everyone can maintain brand consistency. Executive Summary In the age of AI, what's growing fastest inside a company isn't the number of designers, but the number of people creating things with AI. Sales teams create proposals, marketing teams create banners

Why AI Voice Agents Are Becoming the Standard for Appointment-Based Businesses Whether it's a restaurant, a clinic, or an auto shop, any appointment-based business knows this scene all too well. While staff are helping the customer in front of them, the phone rings, and they have to choose one of two options: leave the customer waiting to answer the call, or let the call go. Studies show that a single missed call costs an average of about $450, which adds up to as much as $42

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. •

Summary: The reason 95% of enterprise generative-AI pilots never reach production isn't model performance — it's "operational fit." To get past this, manufacturers need to stop chasing flashy demos and instead automate a single job end-to-end, all the way through to the data, using a 5-step framework. At a glance Content Who is this for Decision-makers and practitioners at small and mid-sized manufacturers with no AI team, or only 1–2 people What problem it solves The "PoC gr

TecAce가 AX Diagnostic을 만든 이유와, 그것으로 무엇을 알 수 있는지에 대하여

"You want to put AI on a smartphone?" — The Beginning of a Reckless Challenge The story of how TecAce's AI Supervision Team built the On-Device LLM Tester "Um… I'd like to automatically measure LLM performance on a smartphone." A brief silence fell over the meeting room. Our team was developing our own on-device AI chatbot. The problem was that every time we swapped models, a tester had to physically hold the phone, send prompts one by one, and time everything by hand. That p

DESIGNER IS NOT DEAD In the AX Era, Design Is About Standards, Not Tools Figma or Adobe is not the real issue. In an era where AI tools are becoming part of everyday work, the more important question is this: can your brand and design standards remain consistent even when the tools change? Executive Summary As AI tools continue to grow, questions like “Can we design without Figma?” or “Do we still need Adobe?” have become more common. But these questions miss the bigger point

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.

AI must work even where there is no internet. TecAce On-device combines OTA updates with a hybrid offline/online architecture to deliver up-to-date knowledge anywhere — from factory floors out of signal range to campsites deep in the mountains. In this article, we explore five industry use cases where the TecAce platform can be applied, each illustrated with a concrete scenario. Case 1. An AI Manual Companion for Field Workers Field AI Companion — Factories · Shipyards · Plan