A ciência de dados e os algoritmos na ressifignicação do visual design na publicidade digital

Detalhes bibliográficos
Ano de defesa: 2023
Autor(a) principal: Franco, Diego Pinheiro Martins lattes
Orientador(a): Santaella, Lucia lattes
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Pontifícia Universidade Católica de São Paulo
Programa de Pós-Graduação: Programa de Estudos Pós-Graduados em Tecnologias da Inteligência e Design Digital
Departamento: Faculdade de Ciências Exatas e Tecnologia
País: Brasil
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: https://repositorio.pucsp.br/jspui/handle/handle/36247
Resumo: The research analyzes the emergence of new digital technologies, examining how artificial intelligence and data science can be creatively merged into digital advertising, reflecting on aesthetic-discursive advances as opposed to a dogmatic model of predefined concepts and architectures. The relevance of algorithms, as protagonists in decision-making processes, occupied central attention in the investigations carried out, not only for providing new protocols for measuring efficiency, but for its contributions to new work models in the management of creative teams. As AI advances to occupy spaces not only in repetitive and mechanical jobs, but also in creative and complex functions, we investigate how the relationship between humans and machines can be sculpted. At the center of current discussions, generative AI proves to be as revolutionary as it is unpredictable. Our first conclusions find a scenario that will move creative capital vertically. Better, faster and cheaper creative ideas will lead to an escalation of productivity, populating new markets and boosting creative entrepreneurship. Design processes will be radically changed. The work will be simultaneously performed by humans and machines in a journey of complementary co-creativity. These new interaction models will transfer generative and exploratory activities to machines, entrusting the human agent with less operational attributions. On one hand, the machines and, on the other, the system-oriented, reflective human agent, responsible for moderating rules and curating results