The objective of the talk is to outline that the ongoing business value is derived from operationalizing AI by consistently synchronising along four concurrent dimensions: Infrastructure, Data, Code and Model.

Each of these dimensions have traditionally different stakeholders with different imperatives, which create friction whilst bringing models from labs to live production.

ML/AI mandates to look at these 4 dimensions concurrently, consistently and coherently along the exploration, development, testing, validation and production lifecycle.