Ata uhi

Artificial Intelligence and digital technologies in Brazil: Characterization with multiple correspondence analysis

Whakaatu ērā atu putanga (1)

I tiakina i:

Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua:	Rosa, Mauricio Benedeti, Kubota, Luis Claudio
Ētahi atu kaituhi:	Cetic.br
Hōputu:	Capítulos de Livro Analíticas
Reo:	Ingarihi
I whakaputaina:	São Paulo 2024
Ngā marau:	Inteligência Artificial Tecnologias digitais
Urunga tuihono:	https://bibliotecadigital.acervo.nic.br/handle/123456789/2589
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Ngā tūemi rite

Artificial Intelligence and digital technologies in Brazil: Characterization with multiple correspondence analysis
mā: Rosa, Mauricio Benedeti, me ētahi atu.

Inteligência Artificial e tecnologias digitais no Brasil: caracterização com análise de correspondência múltipla
mā: Rosa, Mauricio Benedeti, me ētahi atu.
I whakaputaina: (2024)

Inteligência Artificial e tecnologias digitais no Brasil: caracterização com análise de correspondência múltipla
mā: Rosa, Mauricio Benedeti, me ētahi atu.

An analysis of Artificial Intelligence uses and its implications for cultural diversity in Brazil
mā: Lima, Luciana Piazzon Barbosa, me ētahi atu.
I whakaputaina: (2022)

Education, computing, and artificial intelligence
mā: Vicari, Rosa Maria, me ētahi atu.

Plataformização, inteligência artificial e soberania de dados: tecnologia no Brasil 2020-2030.
mā: organizador Penteado, Claudio Luis de Camargo, me ētahi atu.
I whakaputaina: (2023)

Transparency and explainability: Prospects for the regulation of Artificial Intelligence in healthcare in Brazil
mā: Dourado, Daniel A., me ētahi atu.
I whakaputaina: (2025)

Education, computing, and Artificial Intelligence
mā: Vicari, Rosa Maria, me ētahi atu.
I whakaputaina: (2024)

Artificial Intelligence in healthcare: An overview of the literature and guidelines for Brazil
mā: Brandão, Rodrigo
I whakaputaina: (2025)

The current scenario of Artificial Intelligence development in Brazil
mā: Brandão, Rodrigo, me ētahi atu.
I whakaputaina: (2024)

Artificial intelligence in healthcare : potential, risks, and perspectives for Brazil
I whakaputaina: (2024)

Artificial Intelligence and health
mā: Marin, Heimar de Fatima
I whakaputaina: (2025)

The Artificial Intelligence and generative AI bible
mā: Fraley, Alger
I whakaputaina: (2024)

Toolkit for Artificial Intelligence readiness and capacity assessment
mā: Organização das Nações Unidas para a Educação, a Ciência e a Cultura (UNESCO), me ētahi atu.
I whakaputaina: (2025)

Regulatory considerations on Artificial Intelligence for health
mā: Organização Mundial da Saúde - OMS, me ētahi atu.
I whakaputaina: (2025)

Artificial Intelligence and culture: a long-term look
mā: Ghezzi, Daniela Ribas
I whakaputaina: (2022)

Survey on the use of Artificial Intelligence in manufacturing and ICT enterprises in the state of São Paulo, Brazil
mā: Freire, Carlos Eduardo Torres, me ētahi atu.
I whakaputaina: (2024)

Toolkit for artificial intelligence readiness and capacity assessment Artificial inteligence of inclusive sustainable development and inequalities reduction
mā: Presidency of the G20, me ētahi atu.
I whakaputaina: (2024)

Preparing for the realities of Artificial Intelligence A key challenge for education in the 2020s
mā: Selwyn, Neil

Global transformations, local choices Navigating the impacts of Artificial Intelligence on education
mā: Hillman, Velislava, me ētahi atu.

Artificial Intelligence in the public interest: Identifying Internet access technology
mā: García Hernández, Solimary, me ētahi atu.
I whakaputaina: (2024)

A brief history of artificial intelligence : what it is, where we are, and where we are going /
mā: Wooldridge, Michael J., 1966-
I whakaputaina: (2021)

Digital transformation in the age of artificial intelligence: empowering SMEs in the BRICS for a competitive future
mā: BRICS SME Working Group

Artificial Intelligence and the labor market
mā: Meireles, Thiago, me ētahi atu.
I whakaputaina: (2025)

Preparing for the realities of Artificial Intelligence: A key challenge for education in the 2020s
mā: Selwyn, Neil
I whakaputaina: (2024)

Global transformations, local choices: Navigating the impacts of Artificial Intelligence on education
mā: Hillman, Velislava, me ētahi atu.
I whakaputaina: (2024)

Global transformations, local choices Navigating the impacts of Artificial Intelligence on education
mā: Hillman, Velislava, me ētahi atu.
I whakaputaina: (2024)

Revolutionary mathematics: artificial intelligence, statistics and the logic of capitalism
mā: Joque, Justin,
I whakaputaina: (2022)

Public policy drivers for using Artificial Intelligence in healthcare
I whakaputaina: (2025)

Ethics, governance, and policies in artificial intelligence
mā: editor Floridi, Luciano,
I whakaputaina: (2021)

Survey on the use of Artificial Intelligence in manufacturing and ICT enterprises in the state of São Paulo, Brazil
mā: Freire, Carlos Eduardo Torres, me ētahi atu.

The eye of the master : a social history of artificial intelligence /
mā: Pasquinelli, Matteo
I whakaputaina: (2023)

Culture, platforms, and machines: The impact of Artificial Intelligence on the diversity of cultural expressions
mā: Kulesz, Octavio
I whakaputaina: (2022)

Inhuman power: artificial intelligence and the future of capitalism
mā: - Dyer-Witheford, Nick,, me ētahi atu.
I whakaputaina: (2019)

Atlas of AI : power, politics, and the planetary costs of artificial intelligence /
mā: Crawford, Kate, 1974- author.
I whakaputaina: (2021)

Artificial Intelligence in healthcare: A qualitative diagnosis of the Brazilian scenario
mā: Castello, Graziela, me ētahi atu.
I whakaputaina: (2025)

Digital Transformation in the Age of Artificial Intelligence : Empowering SMEs in the BRICS for a competitive future
I whakaputaina: (2025)

Artificial Intelligence in the public interest: Identifying Internet access technology
mā: García-Hernández, Solimary, me ētahi atu.

Technologies for sustainability
mā: Carvalho, Tereza Cristina Melo de Brito, me ētahi atu.
I whakaputaina: (2025)

Leveraging Artificial Intelligence to maximize use of Electronic Health Record data
mā: Nemati, Shamim, me ētahi atu.