AI Adoption: The Perils of Prototypes and the Struggle for Scale
Navigating the complexities of AI adoption presents a multitude of challenges, from ensuring data integrity and bridging the talent gap to overcoming integration woes, managing costs, and addressing ethical concerns. Yet, understanding these hurdles is the first step towards overcoming them. This article explores the nuances of scaling AI initiatives, emphasising the crucial role of a structured operationalisation framework in transitioning prototypes into impactful, fully integrated AI applications across various industries.
