AI Glossary

A/B Testing

Coverage in development

A/B testing compares outcomes across randomly assigned variants to estimate the effect of a change under controlled conditions.

Definition

A/B Testing belongs to MLOps and production ML practice. Teams use it to keep model development reproducible, deployable, observable, and aligned with reliability and compliance requirements.

Plain English explanation

A/B Testing shows up when operationalizing models beyond notebooks.

MLOps Model Serving

Related industries

Enterprise Software Marketing

Related companies

Related products

Enterprise AI platform

Eppo — Enterprise AI platform

Eppo

Explore Eppo — Enterprise AI platform by Eppo. Verified AI product intelligence covering core capabilities, Enterprise Software use cases, technical architec...

  • Company Eppo
  • Industry AI in Enterprise Software
  • Status Active

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