CIOs should rethink AI tech stacks, transitioning from a traditional structure to a “tech sandwich” model, which incorporates data and AI from various sources for a comprehensive approach. Key components include data management, AI applications (embedded, built, and BYOAI), and risk mitigation through a TRiSM layer. Three archetypes exist: vendor-packaged for smaller enterprises, TRiSM-rich for regulated industries, and deluxe for large enterprises. This concept aids governance, IT planning, and resource allocation essential for executing AI strategies effectively.
