AI management is a comprehensive approach that combines value, cost, and risk to prioritize investments in AI products.
AI management consists of eight components that operate in a continuous loop:
Establish accountability for AI products
Identify regulations
Increase value of underlying data
Gather inventory of use cases
Build business cases
Map spend on AI products
Compile process risk and controls inventory (PRCI)
Implement AI value realization