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How M-KOPA uses Weights & Biases

As published on wandb.ai, October 2023. Captured by usedby on Oct 8, 2026.

What happened

M-KOPA's data science team uses the Weights & Biases Model Registry as a central hub to track, promote and audit production forecasting and credit-related models. Protected aliases and role-based access controls manage promotion from challenger to QA to production.

Summary written by usedby from the source page, in English. The figures are those of Weights & Biases and M-KOPA, not ours.

Today, the entire process is managed through W&B Registry, via Protected Aliases. Protected aliases represent key stages of the M-KOPA model development pipeline – such as staging, QA, Challenger, or different model version numbers.

From the page. wandb.ai, captured Oct 8, 2026

Using the W&B Model Registry for model promotion has been extremely useful. Having the full history of the model available also makes it very easy for other departments – like product management – to help manage the deployment process.

Benedict Eugine, Data Scientist, M-KOPA. Source, captured Oct 8, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 8, 2026.

  • The passage quoted aboveCheckedCopied word for word from the page, near the name of M-KOPA.
  • The publication dateCheckedRead from the page’s own metadata, never guessed.
  • M-KOPA uses Weights & BiasesCheckedConfirmed line. Latest check across sources: Oct 8, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

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