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| dc.title | AI from the Ground Up: Challenges and Opportunities in the Context of Latin America and the Caribbean |
| dc.contributor.author | Cruz, Guillermo |
| dc.contributor.author | Riobó, Alexander |
| dc.contributor.author | Pfeifer, Maria |
| dc.contributor.author | Duarte, Diana |
| dc.contributor.orgunit | Transport Division |
| dc.contributor.orgunit | Energy Division |
| dc.contributor.orgunit | Water and Sanitation Division |
| dc.contributor.orgunit | Infrastructure and Energy Sector |
| dc.coverage | Latin America |
| dc.coverage | The Caribbean |
| dc.date.available | 2024-12-04T00:12:00 |
| dc.date.issue | 2024-12-04T00:12:00 |
| dc.description.abstract | The exponential growth in computational capacity, along with the resulting decrease in costs, the digitalization of information, and the expansion of the Internet, have been key to making this technology accessible to governments and organizations across different economic sectors. Different businesses and entities in the energy, transport, water and sanitation, and solid waste sectors have recently started adopting AI-based solutions for missions and strategies to improve systems planning, optimize operations and maintenance of assets, reduce costs, and deliver better services. Creating value through AI is very important for countries, governments, and public and private organizations because the services provided by infrastructure sectors are critical for economic growth and the normal functioning of societies. This document offers recommendations and technical considerations to develop and adopt AI-based solutions in infrastructure sectors. These recommendations are based on global evidence, the experience of the IDB, and the lessons learned from the deployment of tools in Latin America and the Caribbean (LAC). The elaboration of this publication included 17 interviews with IDB technical teams and with clients and external actors experienced in developing and implementing solutions using emerging technologies and AI. The document includes as an annex a review of regulatory frameworks applicable to AI in LAC. The objective of the document is to provide conceptual and methodological approaches to leaders, policy-makers, project teams, public and private technical units, developers and other actors in the entrepreneurial ecosystem that help strengthen the design and development of solutions in the infrastructure sectors and to maximize the opportunities offered by AI in this area. The document concludes with recommendations to successfully develop and implement these solutions in LAC. The main recommendations include the following: (i) implement agile AI development and innovation methodologies and consider the use of Proof of Concept, prototypes, and Minimum Viable Products that are spaces for experimentation, learning, and feedback to improve solutions; (ii) define organizational schemes that facilitate the development and adoption of these solutions, as well as assess and ensure the existence of the skills necessary on the teams; (iii) understand the importance of data and their governance, and in doing so determine the data necessary, available sources, architecture, and the flow of these elements; (iv) identify and evaluate, starting in the design stage, the requirements for technological tools and data infrastructure to design solutions, especially for data storage and processing capacity; (v) define objective criteria to select the models to address the nature of the problem, the type and quality of the information, computational capacity, and performance objectives and explainability; and (vi) pay special attention to ethical, privacy, and security aspects from the initial design stages. |
| dc.format.extent | 98 |
| dc.identifier.doi | http://dx.doi.org/10.18235/0013275 |
| dc.identifier.url | https://publications.iadb.org/publications/english/document/AI-from-the-Ground-Up-Challenges-and-Opportunities-in-the-Context-of-Latin-America-and-the-Caribbean.pdf |
| dc.identifier.url | https://publications.iadb.org/publications/spanish/document/IA-desde-los-cimientos-desafios-y-oportunidades-en-el-contexto-de-America-Latina-y-el-Caribe.pdf |
| dc.identifier.url | https://publications.iadb.org/publications/french/document/Lia-dans-les-infrastructures-defis-et-opportunites-dans-le-contexte-de-lAmerique-Latine-et-des-Caraïbes.pdf |
| dc.identifier.url | https://publications.iadb.org/publications/portuguese/document/IA-desde-los-cimientos---Desafios-y-oportunidades-en-el-contexto-de-America-Latina-y-el-Caribe.pdf |
| dc.language.iso | en |
| dc.publisher | Inter-American Development Bank |
| dc.subject | Artificial Intelligence |
| dc.subject | Infrastructure Development |
| dc.subject | Science and Technology |
| dc.subject | Energy |
| dc.subject | Sustainability |
| dc.subject | Water and Sanitation |
| dc.subject | Learning |
| dc.subject | Smart Infrastructure |
| dc.subject | Mode of Transport |
| dc.subject | Digital Transformation |
| dc.subject | Machine Learning |
| dc.subject | Digital Technology |
| dc.subject | Deep Learning |
| dc.subject | Learning and Teaching Program |
| dc.subject | Data Science |
| dc.subject | Innovation |
| dc.subject | Big Data |
| dc.subject.jelcode | O31 - Innovation and Invention: Processes and Incentives |
| dc.subject.jelcode | O32 - Management of Technological Innovation and R&D |
| dc.subject.jelcode | O33 - Technological Change: Choices and Consequences • Diffusion Processes |
| dc.type | Monographs |
| idb.identifier.pubnumber | IDB-MG-01247 |
| idb.operation | RG-T4098 |