Topic

AI

3 essays tagged “AI”.

← All writing

  1. Predictive Maintenance at Fleet Scale with Sparse Failure Data

    How a 25-person delivery team shipped a production ML platform for 6,000+ industrial companies when the thing everyone agreed was necessary (labelled failure data) barely existed.

  2. Your Architecture Isn't AI-Ready. Here's What to Fix First.

    Before adding AI capabilities, most organizations need to fix their data layer, event infrastructure, and API design. The foundations matter more than the model.

  3. Enterprise AI Adoption: The Gap Between Demo and Production

    Most enterprise AI initiatives stall not because of model quality, but because of data readiness, organizational resistance, and unclear ROI expectations.