KB Securities Presents AI Agent Innovation Cases at 'AWS Industry Week'
KB Securities announced on the 17th that Jae-Man Park, Executive Director and Head of the AI Digital Division, gave a presentation on "Innovation Cases in AI Agent Development" at the "AWS Industry Week 2025," which was held at COEX in Samseong-dong, Seoul, from October 14 to 16.
On the 16th, Jae-Man Park, Head of AI Digital Division at KB Securities, gave a presentation at the 'AWS Industry Week 2025' held at COEX in Samseong-dong, Seoul. KB Securities
View original imageThis presentation served as an opportunity for KB Securities, an AWS partner, to share examples of AI-driven work innovation implemented this year, as well as the development process and outcomes of AI Agents deployed in actual business operations. In particular, the session highlighted KB Securities' technological differentiation and practical applications, including AI Agent design tailored to the characteristics of financial work and a knowledge response structure based on Retrieval-Augmented Generation (RAG).
During the presentation, Executive Director Park stated, "AI Agents have become a strategic asset that goes beyond simple work automation tools, enhancing organizational decision-making and the quality of customer engagement," adding, "KB Securities continues to drive innovation by simultaneously improving work efficiency and customer satisfaction through AI technology."
This year's AWS Industry Week 2025 was held under the theme "Transcending Boundaries with AI: Connecting the Future of Industry," with major domestic and global companies participating to share AI utilization strategies and innovation cases across various industries. KB Securities, as a leading company in the application of generative AI in the financial sector, attracted significant industry attention by presenting practical, real-world cases.
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The AI Digital Division at KB Securities is accelerating the internalization of AI technology and the establishment of a collaborative ecosystem for the widespread adoption of AI in finance, developing and applying AI Agents in diverse areas such as investment analysis, customer consultation, and data-driven decision-making.
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