To analyse why operationalising AI is so challenging, it’s important to understand the full lifecycle of an AI project, and identify the stakeholders involved. Through 2023, Gartner estimates that 50% of IT leaders will struggle to move their AI projects past proof of concept (POC) to a production level of maturity. To reduce this high failure rate, organisations need to build the right roles for AI success. In many organisations, data scientists are still wearing too many hats due to a dearth of talent across other roles. This session will highlight how, in order to successfully operationalise and scale AI POCs, organisations must build diverse AI roles and skills with a collaborative structure that is paramount.