Gabia and AWS Hold Hands-on Seminar for Amazon Quick, Implementing Work AI Agents
TECHWORLD ·
✦ AI Summary
Gabia and AWS held the "Amazon Quick hands-on seminar" for enterprise customers on the 29th at AWS Korea's headquarters in Centerfield, Yeoksam, Seoul.
The seminar was held to promote the use of AI agents for work, and about 30 people, including developers, planners, marketers, and sales staff, attended.
Participants directly implemented Amazon Quick-based AI agents and practiced internal document search and summarization, report writing, and automation of repetitive tasks.
Gabia and AWS held the "Amazon Quick hands-on seminar" for enterprise customers on the 29th at AWS Korea's headquarters in Centerfield, Yeoksam, Seoul. The seminar was organized to promote the use of AI agents for work. About 30 people attended, including employees in development, planning, marketing, sales, and other roles.
During the hands-on session, attendees directly implemented AI agents based on Amazon Quick. The functions they built were internal document search and summarization, as well as report writing, with the goal of automating repetitive tasks.
Amazon Quick is AWS's AI assistant service. The service includes functions for connecting enterprise work data and applications. It can also connect dispersed information across internal documents, emails, messengers, and internal systems, and can be used through natural-language instructions. Amazon Quick supports information retrieval, analysis, and automation of repetitive tasks, and it helps with search, summarization, data analysis, and document writing.
The program focused less on introducing product features and more on confirming whether the service could be applied to actual work. Participants took part in hands-on exercises to identify AI application tasks in their own work and implement them directly.
In the process, engineers from AWS and Gabia suggested ways to tailor the service to each company's work environment during the exercises and also provided technical consultation. Through a Q&A session, attendees confirmed its applicability by department and also reviewed the technical requirements needed for adoption.
Gabia has experience with an Amazon Quick adoption project for Ilyong Pharma, a comprehensive pharmaceutical company, and reflected that experience in this program. At the time, Gabia supported the company through step-by-step adoption assistance covering the identification of use cases, small-scale PoC, actual work deployment, and company-wide expansion.
Gabia plans to provide phased support to companies considering Amazon Quick adoption in the future. The scope of support will include defining use cases, PoC, build and operations, and company-wide expansion, and Gabia plans to work with AWS to expand use cases that reflect the work characteristics of each industry.
Baek Seung-han, head of Gabia's MSP business team, emphasized that when applying generative AI to enterprise work, simple technical experience alone is not enough; it is also important to define the work issues that need to be solved. He then expressed his intent to support the verification of AI use cases identified by customers on site, and also said he would support the actual deployment of verified use cases into business operations.
Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=407575
References
This article was produced with the help of an automated content generation algorithm.
Source: TECHWORLD
View originalThis article was summarized and organized by BizCrush based on the original article from TECHWORLD. For exact quotations and full details, please refer to the original article.