Este informe pretende ayudar a los gobiernos de América Latina y el Caribe a aprovechar las oportunidades que la utilización de datos del sector público y el despliegue de la inteligencia artificial (IA) pueden ofrecer para lograr un modelo de economía circular y los Objetivos de Desarrollo Sostenible (ODS) de la ONU.

For such purpose, the report provides a novel concept of sharing data between key players that we have named data cross-pollination. Drawing on this concept, it considers four SDGs, i.e., energy, sustainable food systems, reducing pollution, and smart cities. Building on case studies and initiatives, the report highlights the main challenges and opportunities of utilizing data to achieve a circular economy model and sustainable development. It also looks into the potential of AI to enrich such data cross-pollination and focuses on potential applications of AI in circular innovation that can be transposed in the public sector.

Para leer más ingrese a:

https://publications.iadb.org/en/cross-pollination-and-digitalization-public-sector-data-opportunities-and-challenges

 https://publications.iadb.org/publications/english/document/Cross-Pollination-and-Digitalization-of-Public-Sector-Data-Opportunities-and-Challenges.pdf