KT is shifting the center of its artificial intelligence transformation (AX) business to customer sites.
According to the industry on the 17th, over the next two years it plans to develop more than 500 members of the AX Business Division into field deployment engineers (FDEs) to boost execution in business-to-business (B2B) AX business transactions among corporations.
An FDE is a field engineer who identifies a client's work structure and issues and implements solutions by integrating AI, data, and cloud technologies. They do not stop at business proposals but handle the entire process from system buildout and operations to enhancement. As AI technology has become more standardized, the judgment behind this shift is that understanding of industries and the ability to deliver real outcomes have become more important than simply possessing the technology.
KT assessed the industry, technology, and solution capabilities of members of its AX Business Division. Based on this, it will design a career development path (CDP) for each individual and link training, project participation, and certification. Through scenario-based exercises similar to real business, on-the-job training (OJT), and expert mentoring, the plan is to give them experience from problem definition and minimum viable product (MVP) creation to client proposals.
At customer sites, KT will deploy squads composed of industry and business experts and AI, data, and cloud personnel. In particular, at university hospitals and other sites where external transfer of data is difficult for security reasons, they will design solutions using real data and proceed with field validation and service development.
KT established the AX Business Division in March and reorganized related units, and in July held an in-house AI hackathon, "Agent Camp," with Palantir. Employees carried out AI agent tasks using real work data and received technical advice from Palantir's FDEs. The company plans to speed up monetization of the B2B AX business by expanding its cooperation network beyond Microsoft and AWS and Databricks to include Palantir.