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A era da IA é impulsionada pela
Engenharia de Plataforma
A era da IA é impulsionada pela
Engenharia de Plataforma
7 de novembro de 2026
107 DIAS 16 HRS 17 M 21 S
600+
600+
Participantes
Participantes
20+
20+
100+
Oradores
Oradores
Equipes empresariais
30+
30+
20+
Equipes empresariais
Equipes empresariais
Oradores
1000+
Pães de queijo
Por que participar do PlatformCon
Por que participar do PlatformCon
Em São Paulo pela primeira vez ❤️
Em São Paulo pela primeira vez ❤️
Uma mensagem rápida do seu coanfitrião Luca
Uma mensagem rápida do seu coanfitrião Luca
Junte-se a equipes corporativas da
Áreas de foco da PlatformCon São Paulo
Áreas de foco da PlatformCon São Paulo
Um dia completo de engenharia de plataformas
Um dia completo de engenharia de plataformas
Tempo
Palco Principal
Sala de Workshop 1
Sala de Workshop 2
Mesas-redondas
9:00 AM
9:30 AM
10:00 AM
10:30 AM
11:00 AM
11:30 AM
12:00 PM
12:30 PM
1:00 PM
1:30 PM
2:00 PM
2:30 PM
3:00 PM
3:30 PM
4:00 PM
4:30 PM
5:00 PM
Palestra de abertura: Por que a IA agêntica precisa de uma plataforma, não apenas de modelos mais inteligentes
🥐☕🥐☕🥐☕🥐Quebrar
🥐☕🥐☕🥐☕🥐Almoço
🥐☕🥐☕🥐☕🥐Quebrar
Painel de encerramento: O que vem a seguir para a engenharia de plataforma
🥐☕🥐☕🥐☕🥐Tour pelos estandes e bebidas
Construindo salva-guardas de IA para um banco brasileiro: Conformidade em escala
Cenouras, não bastões. Como alcançamos 94% de adoção da plataforma sem uma imposição de cima para baixo
Operando um IDP de Kubernetes para mais de 500 engenheiros em locais de mineração remotos (Estudo de caso do setor de mineração)
Uma equipe de plataforma, atendendo a centenas de usuários de negócios: o que realmente fez o autoatendimento funcionar
Painel de segurança: A plataforma ao resgate quando o tempo para exploração se torna negativo
Por que a observabilidade e a segurança se tornaram as capacidades mais desejadas da nossa plataforma: Desloque para baixo, não para a esquerda
35 mil microsserviços, 20 mil desenvolvedores: Um dos maiores IDPs da América Latina (caso de sucesso de e-commerce)
Evoluindo a engenharia de plataforma para o ciclo de vida de desenvolvimento de agentes (ADLC)
Do zero ao sandbox de IA: construindo uma plataforma privada de inferência de LLM ao vivo
Como colocar agentes em sandboxes seguras, na prática
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Triagem de observabilidade, ao vivo: melhores práticas na resposta a incidentes
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