STRV O2 PwC Miya STIL
  1. 01

    Data

    Before any model, I go through what you already collect and what is actually usable.

  2. 02

    Model Data scientists stop here*

    I train on your data, not a benchmark set, and stop when it beats what you do now.

  3. 03

    Deployment

    The model goes somewhere it can run every day, with the infrastructure to keep it there.

  4. 04

    Integration

    Predictions arrive in a form your product can use, not a notebook someone has to open.

  5. 05

    Monitoring

    You hear it when the data changes shape, before your users do.

STRV O2 PwC Miya STIL
  1. 01

    Data

    Before any model, I go through what you already collect and what is actually usable.

  2. 02

    Model

    I train on your data, not a benchmark set, and stop when it beats what you do now.

  3. 03

    Deployment

    The model goes somewhere it can run every day, with the infrastructure to keep it there.

  4. 04

    Integration

    Predictions arrive in a form your product can use, not a notebook someone has to open.

  5. 05

    Monitoring

    You hear it when the data changes shape, before your users do.

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