LINKS Veda is an initiative by MLIT to build a centralized and reusable data infrastructure by automatically structuring administrative information using AI technologies such as LLM, NLP, and image recognition.

Key features include:

• Automated Structuring of Unstructured Data

  Tasks traditionally done manually, such as organizing PDFs and Excel files, are now automated using AI technologies, significantly improving operational efficiency and data usability.

• No-Code Data Processing

  Enables intuitive operations using data processing templates, even for non-specialists. It also promotes the reusability and continuous improvement of structured processes.

• Implementation Through EBPM and Open Data

  Facilitates quantitative analysis for policy evaluation and operational improvement, with use cases spanning areas such as regional tourism trends, logistics, and productivity.

• Support for Geospatial Data

  Outputs in GeoJSON/CSV formats enable high compatibility with GIS tools and web applications for effective data visualization.

This talk will share real-world use cases to illustrate how previously untapped government data is being transformed into a vital resource for open innovation.

Who Should Attend:

• Government and municipal officials interested in digital transformation and data infrastructure
• Researchers and think tank professionals involved in EBPM
• Data engineers, GIS developers, and no-code/low-code developers
• Startups and corporate representative working on projects that utilize open or public data