AI-based manufacturing process diagnostics company AIBIZ (CEO Ha Seung-jae) announced on the 29th that it hosted the 'AIBIZ Global Manufacturing AI Summit 2026' at the Josun Palace Hotel in Gangnam, Seoul, sharing manufacturing AI use cases and strategies for securing industrial competitiveness. Industry and academic experts from HPE, AMD, the Korea Advanced Institute of Science and Technology (KAIST), LG CNS, and STATS ChipPAC Korea spoke at the summit, discussing the on-site results of manufacturing AI and strategies for the transition to AI factories. At the event, AIBIZ revealed its plan to combine an AI agent with its manufacturing time-series data analysis solution 'DutchBoy.' It introduced a work structure in which AI handles the repetitive task of querying and analyzing data scattered across the manufacturing site, while engineers focus on final judgment and response based on the results. Choi Hyun-jin, a director at AIBIZ, said, "By combining an AI agent with DutchBoy, we will connect everything from anomaly detection to root-cause analysis, searches for similar past cases, and action proposals into a single flow." He added, "When an equipment anomaly occurs, the approach checks related processes and maintenance history, then presents candidate causes and recommended actions along with supporting evidence," noting that "the focus is on supporting on-site experts' decision-making after the anomaly has been diagnosed." The panel discussion at the event, themed "Strategies for Securing Competitiveness in Global Manufacturing in the Age of AI Factories," addressed the challenges of adopting and spreading manufacturing AI. Standardizing distributed data, turning skilled workers' know-how into databases, and phased AI adoption were presented as key challenges. AIBIZ CEO Ha Seung-jae said, "AI can only be recognized for its competitiveness once it has been verified on-site," adding that "we are expanding the technology secured in semiconductors into a range of industries." AIBIZ is expanding the scope of its AI applications from semiconductor processes into manufacturing fields such as camera modules, secondary batteries, solar power, and steel. In partnership with LG CNS, it has applied AI-based anomaly detection technology to the camera optical module process.