Abstract
This study analyzes the technological structure of artificial intelligence (AI) and technological capabilities of AI companies based on patent information. 2589 AI patents registered in USPTO from 2007 to 2017 were collected and analyzed by the Latent Dirichlet Allocation (LDA) to derive 20 AI technology topics. Analysis of technology development trends by AI technology reveals that visual understanding, data analysis, motion control, and machine learning are growing, while language understanding and speech technology are sluggish. In addition, we also investigated leading companies in each sub-field of AI as well as core competencies of global IT companies. The findings of this study are expected to be fruitfully used for formulation and implementation of technology strategy of AI companies.
| Translated title of the contribution | A Technology Landscape of Artificial Intelligence: Technological Structure and Firms' Competitive Advantages |
|---|---|
| Original language | Korean |
| Pages (from-to) | 340-361 |
| Number of pages | 22 |
| Journal | 기술혁신학회지 |
| Volume | 22 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jun 2019 |