Open data initiative of the Government of Spain

If you use artificial intelligence to create summaries, you can significantly improve the results by applying three key strategies: ask specific questions instead of requesting a generic summary, request that the information be structured in tables or lists to facilitate understanding, and look for connections between documents to discover patterns and valuable insights.

Synthetic data allows the generation of artificial information that mimics the statistical properties of real data, making it possible to develop and test models without compromising confidentiality. Combined with high-quality open data, it opens up new opportunities to drive innovation, research, and responsible experimentation, among other things.

The correct use of scales, accessibility checks, and purposeful design are some of the innovative tips we explain in our latest post. In it, we highlight some tips from the training series on data visualization taught by Alberto Cairo at the European Open Data Portal Academy.

This infographic provides a comprehensive overview of the lifecycle of a responsible and well-structured data project: from understanding the problem to staying up to date. It is based on the report of the same name, ideal for new professionals, but also for teams and organizations that want to strengthen their data culture and their data science, AI, and MLOps practices.

The Directorate-General for Data, under the Secretariat of State for Digitalisation and Artificial Intelligence, was created with the mission of streamlining the management, sharing and use of data across the different productive sectors of the Spanish economy and society. Here you will find information related to projects you are developing.