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AI translation solution presented through a real prompter Executive Summary  This Case Study aims to discuss our in-house developed AI-based real-time translation solution designed to overcome communication difficulties in corporate workshops with a multilingual environment. Although the initial model was built upon the OpenAI API, it faced issues with mistranslating company-specific terminology and employee names. To address this, we integrated our independently developed Co

Project Overview The retail chatbot project for a smartphone manufacturer was launched to provide product information, respond promptly to online customer inquiries, and elevate the quality of product consultations. This chatbot goes beyond simple information delivery—it is designed to understand the user’s situation and the flow of their inquiries, offering product recommendations, real-time Q&A, and purchase or promotion guidance. Business Requirements The business goals of

— Enough Talk. Time to Move. As of June 2025, AI isn’t just a smart assistant anymore — it’s becoming a real teammate that gets work done . If GPT was the “AI that talks well,” today’s spotlight belongs to Vertical AI  — the kind that actually shows up to work, and Physical AI  — the kind that can physically get things done. We used to ask: “How smart is this AI?” Now the better question is: “What can this AI actually do for our team?” “Is it just talking, or is it getting th

South Korean telecommunications companies are significantly strengthening their AI-based voice phishing and spam blocking services as voice phishing crimes surge nationwide. With voice phishing damages reaching 311.6 billion won in the first quarter of 2025 alone—a 2.2-fold increase compared to the same period last year—telecom operators are moving beyond traditional passive blocking methods to implement proactive security solutions through real-time AI analysis. Escalating V

Background & Challenges As customer expectations evolve, companies are no longer satisfied with basic chatbot functionalities. There is a growing demand for intelligent assistants that deliver a high-tech yet personable customer experience. This trend has accelerated the adoption of AI avatars and next-gen virtual agents. From an IT consulting standpoint, while visual quality of avatars matters, the top priority is ensuring the chatbot delivers accurate and trustworthy respon

As of 2025, most companies are adopting their own AI systems, but how many are systematically verifying their safety? According to a recent report by MIT Technology Review, 54% of companies still rely on manual evaluation methods, and only 26% have started automated assessments. This is clearly insufficient compared to the growing threats to AI security. What Is an AI Red Team? An AI Red Team extends the traditional cybersecurity red team concept to AI systems. According to d

In 2025, global enterprises are racing to develop Agent AI  systems. No longer satisfied with basic chatbots or rule-based automation, companies are now focusing on autonomous AI agents that can independently identify problems, make decisions, and achieve goals by leveraging various tools—all without human intervention. Agent AI differs fundamentally from traditional AI systems that merely return predefined answers to user queries. Instead, it plans and executes complex workf

In 2025, the video market is going through a huge turning point. Video production, which used to require numerous steps from planning to shooting and editing, has opened a new path called ‘automation’ through AI technology. Now, high-quality videos can be produced with just a few lines of text, without cameras or actors. As the entry barriers to video production are broken down, an era has opened where anyone, from individuals to companies, can easily enter the video content

Recently, one of the hottest topics in the AI industry has been the emergence of the large language model (LLM) 'DeepSeek' from China. Released as an open-source model, DeepSeek aims to achieve performance on par with GPT-4 and has quickly gained attention as a new challenger in the global AI market. However, its debut has not been without controversy. Notably, South Korea has moved to prohibit the use of DeepSeek, drawing further attention to the issue. Why is DeepSeek such

According to IBM's recent "ROI of AI Report," businesses are accelerating their adoption of AI, with many achieving positive results. This report, based on a survey of over 2,400 IT decision-makers worldwide, explores the impact of AI on business. It examines the purposes behind AI adoption and outlines the directions companies should take beyond 2025. Current Trends in AI Adoption: Why Are Businesses Embracing AI? The report reveals that as of 2024, 85% of businesses are imp

SAS, the global data and AI company, recently released its Artificial Intelligence (AI) Trends to 2025 report, which covers nine key trends in AI, including sustainability, data quality, ethical responsibility, and more. Here are some of the report's key takeaways : 1. Faster model training reduces AI carbon footprint Speed and algorithmic efficiency cannot be ignored as critical levers to reduce cloud consumption. While energy-hungry AI will continue to fuel the drive toward

Cisco's recently published "2024 AI Readiness Index" report evaluates how well companies worldwide are prepared to adopt artificial intelligence (AI). This report reaffirms the growing importance of AI adoption as a global issue. Here, we summarize the key findings by comparing the AI readiness of South Korean companies to global standards. 1. AI Readiness of South Korean and Global Companies According to the report,  only 3% of South Korean companies are ready to deploy and

In September 2024, the UN AI Advisory Body released its final report, "Governing AI for Humanity," which proposed seven key recommendations to address the ethical and societal challenges posed by the global development of AI technology. The report presents regulatory and governance measures for human-centered AI, emphasizing the need for international cooperation and governance structures to ensure fair and sustainable use of AI. 1. Establishment of an International Scientifi

In recent years, artificial intelligence (AI) has emerged as a transformative force, reshaping industries, businesses, and even our daily lives. But what if I told you that understanding AI requires us to step away from the conventional digital lens we’ve relied on for the past few decades? Instead, AI aligns more closely with the analog world—closer to human cognition than to machine computation. In this article, I aim to explore why AI’s true potential lies beyond the binar

Recent Advances in AI and the Emergence of AI Governance with the recent rapid advancements in artificial intelligence (AI) technology, its influence is deeply permeating our daily lives. AI is enhancing human efficiency and convenience in almost every field, including healthcare, education, finance, and manufacturing, creating new value. However, these technological innovations are intertwined with both opportunities and challenges. Behind the convenience and possibilities o

The 2024 Paris Olympics will be remembered as the first Olympic Games where artificial intelligence (AI) technology has been fully integrated. Throughout the event, AI has been innovatively utilized across various domains, including event management, athlete support, broadcasting, and security. The introduction of these AI technologies is fundamentally transforming how the Olympics are organized and opening new horizons for sports competitions. Event Management and Referee Su

TecAce, an IT company based in Seattle, with 24 years of experience, has changed its vision and business strategy to AI Transformation starting in 2023 and is continuously developing solutions utilizing LLM Foundation and carrying out collaborative projects with partners. In this post, I will share some cases I experienced while developing the AhnLab AI Global Translation Service, which was commercialized in June 2024. CHALLENGE The global professional security company AhnLab

A white paper on the Enhancing AI Industry Stability and Mitigating Threats: The Necessity of Independent AI Supervision Institutions Author: Chang Han, Sungjin (James) Kim, Eun Seok Lee, Hansoo Lee, and Yung Kim Date: July 8, 2024 Table of Contents Introduction Issues of Uncertainty and Unreliability in AI Technology Construction Industry's Contractor-Supervisor Model The Need for Independent AI Supervision Institutions Roles and Responsibilities of AI Supervision Institutio

The following text has been translated from Korean to English using AssistAce . Sungjin (James) Kim, Ph.D. | LinkedIn  | YouTube Case Study of Translation LLM Fine-Tuning Introduction The technology of Large Language Models (LLMs) is advancing rapidly. There are various ways to utilize LLMs, including prompting, embedding, and fine-tuning. In this article, we will focus on fine-tuning, which requires a significant amount of GPU computing resources. While it is possible to sec

The following text has been translated from Korean to English using AssistAce . One of the easiest AI solutions to help with LLM (Language Learning Models) these days is the Summary feature. It is a feature useful for its ability to convert long or difficult to understand documents into short and easy to understand content. The feature is already widely utilized and easily accessed to summarize various types of documents such as news, PDFs, webpages, etc. Challenge As seen th