This session explores two critical aspects of Bhutan’s digital transformation: semantic interoperability in e-Government and the digitization of Dzongkha using machine learning.

The first part focuses on semantic interoperability within Bhutan's e-Government initiatives. It addresses the importance of standardizing data and systems to ensure smooth communication and data exchange between various government entities. By achieving semantic interoperability, Bhutan can enhance the efficiency and transparency of its public services, improving citizen access to government resources and ensuring that data across different departments is consistent and easily understood.

The second part shifts to the digitization of Dzongkha, Bhutan’s national language, using machine learning. This discussion covers the efforts to leverage advanced technologies to preserve and promote Dzongkha in the digital age. Machine learning is used to create more accurate language processing tools, such as text recognition, speech-to-text, and translation services, contributing to the broader goal of maintaining Bhutan’s cultural heritage while adapting to modern technological needs.

Together, these topics illustrate how Bhutan is integrating technology into its governance and cultural preservation efforts, emphasizing the role of digital tools in achieving both efficient public services and the protection of national identity.