Exploring the world within and bring clarity to your data

Start a moving journey to take control over your data management while keeping an eye on its social and ecological impact.

  • Why MLflow — and why you’d self-host it

    A practitioner’s comparison of MLflow against Weights & Biases, Neptune, ClearML, Aim, Comet and DVCLive — and the case for running your experiment tracker on infrastructure you control.
  • Why I build AI in places where it can’t fail — a practitioner’s manifesto

    There is a category of AI deployment that almost nobody talks about publicly. Not because it doesn’t exist but because the people doing it are under NDAs, operating in classified environments, or simply too busy keeping systems alive to write blog posts about it. I’ve spent the last several years in that category. AI in […]