Gerir Projetos de IA com Ferramentas de Entrega Contínua
Olá a todos, tenho estado a explorar formas de otimizar os fluxos de trabalho de projetos de IA recorrendo a abordagens de entrega contínua. Parece haver tantas…
Nathan Pearson
February 8, 2026 at 09:11 PM
Olá a todos, tenho estado a explorar formas de otimizar os fluxos de trabalho de projetos de IA recorrendo a abordagens de entrega contínua. Parece haver tantas ferramentas disponíveis, mas nem todas se encaixam perfeitamente na gestão do ciclo de vida completo da IA. Gostaria muito de saber quais são as ferramentas que vocês utilizam ou recomendam para este tipo de situações!
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Has anyone tried using CircleCI or Travis for AI model deployment? I mostly use them for app dev but curious if they're suitable for AI workflows too.
Honestly, continuous delivery for AI is way more than just pushing code. You gotta think about data validation, model testing, and monitoring all the time. So look for tools that cover these areas, not just CI/CD.
For those exploring tools, you can also check ai-u.com for new or trending solutions in this space. It's helped me discover some cool stuff recently.
Does anyone use Kubeflow for automating the AI lifecycle? I've read it's pretty good for continuous delivery but haven't tried it myself yet.
I've found that integrating CI/CD pipelines with model monitoring really helps keep things smooth after deployment. Tools like MLflow combined with Jenkins do the trick for me.