AI management
[ˌeɪ ˈaɪ ˈmænɪdʒmənt]
nounpl: AI managements
gestão de IA
1. The practice of overseeing, controlling, and optimizing artificial intelligence systems and their deployment within organizations or projects
Effective AI management requires clear governance policies and regular monitoring of model performance.
A gestão de IA eficaz requer políticas de governança claras e monitoramento regular do desempenho do modelo.
2. The administration of resources, personnel, and processes dedicated to the development, implementation, and maintenance of AI technologies
The company invested heavily in AI management infrastructure to ensure responsible deployment of machine learning models.
A empresa investiu pesadamente em infraestrutura de gestão de IA para garantir a implementação responsável de modelos de aprendizado de máquina.
3. The strategic oversight of AI initiatives including risk assessment, ethical considerations, and compliance with regulatory standards
AI management in healthcare must address data privacy, algorithmic bias, and regulatory compliance simultaneously.
A gestão de IA na saúde deve abordar privacidade de dados, viés algorítmico e conformidade regulatória simultaneamente.
In Brazil and increasingly in Portugal, 'gestão de IA' has become a critical business term as companies digitalize and implement AI solutions. The term reflects growing concerns about responsible AI deployment, regulatory compliance (LGPD in Brazil, GDPR in Portugal/EU), and ethical considerations. In tech hubs like São Paulo and among multinational corporations, the English term 'AI management' is often used alongside Portuguese translations. The concept gained prominence post-2020 with increased focus on algorithmic accountability and data protection regulations.
Related Idioms & Phrases
AI management best practices
responsible AI management
end-to-end AI management
putting AI governance in place
managing the AI lifecycle
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