Problem

Lack of engineering best practices for AI

Many businesses move Artificial Intelligence (AI) services into a production setting without following strong software engineering and delivery principles.

Inhibits these Capabilities

Ability to develop and launch new product features rapidly

Software teams can rapidly deliver new features and user experiences.

Leads to these Problems

Expensive AI training overhead

Struggling to run AI in Production

A business has problems running Artificial Intelligence in Production, because one or more essential process or data or engineering ingredients is missing or broken.