Industrialising AI

This chapter discusses how to industrialise AI and scale AI capabilities within an organisation after initial prototypes are built. It emphasises the need for strong leadership, a standardised ‘playbook’ for developing AI solutions, and a robust technology platform. Key steps include developing an end-to-end data science landscape, building out an AI ecosystem with the right vendors and partners, recruiting specialists, and creating an organisational structure like an AI Centre of Excellence. It provides recommendations on vendor selection, hiring data scientists, using agile methodologies, and tools for managing data and models. The overall focus is on moving from individual AI projects to an enterprise-level AI capability that can rapidly develop new solutions. This requires planning, resources, the right skills, and a governance model that ensures AI efforts are aligned with business strategy and deliver measurable value.