Sporala red del conocimiento
Universidad EAFIT

Maestría en Gerencia de la Innovación y el Conocimiento · 2026

Rediseño del modelo de gestión del conocimiento del talento tecnológico en la Organización Corona incorporando la inteligencia artificial como habilitador

Vargas Bermúdez, Fabio AlonsoAsesor: Gamboa Urrego, Alejandro

Organización Corona has built a competitive advantage around ceramic technical knowledge; however, this knowledge faces tensions related to its capture, preservation, accessibility, transfer, and application in solving technical problems. These gaps limit the reuse of expert knowledge, the cross-functional circulation of lessons learned across plants and divisions, and the transformation of technical experience into sustainable organizational capabilities. In this context, the objective of this research was to redesign the knowledge management model for technological talent at Organización Corona, incorporating artificial intelligence as an enabler to strengthen the management of ceramic technical knowledge and support the resolution of defects in production processes. The research was conducted under a qualitative approach, through the analysis of the organizational context, the review of the conceptual framework, the use of semi-structured interviews with key actors, and the triangulation of empirical findings, identified tensions, and theoretical references. As a result, an updated model was proposed for the Ceramic Technology Management area, structured around the processes of capturing, sharing, applying, and evaluating knowledge, complemented by organizational and technological enablers. Likewise, an artificial intelligence agent was developed as a connection mechanism between the model, the available organizational knowledge sources, and the expert knowledge required to analyze ceramic technical defects. The study concludes that artificial intelligence does not replace technical judgment, but rather acts as a copilot to retrieve knowledge, generate hypotheses, support decision-making, and accelerate learning and innovation cycles. Its distinctive contribution lies in integrating knowledge management, expert talent, and artificial intelligence into a solution applied to a real ceramic industrial context.

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