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.