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

Seen in these Maturity Models

Artificial Intelligence Engineering Maturity Model

Stage 3: Operational: AI in Production with successes and challenges - Maturity Stage

A business has successfully moved an important AI capability into production at this maturity stage. The service is working, but might be more expensive than planned, and there are unforeseen challenges.

Artificial Intelligence Engineering Maturity Model