The Three Approaches To AI Implementation
datanami, Monday, July 3,2023
There are three approaches to AI implementation emerging: the typical do-it-yourself approach where you do everything yourself that has the highest potential for failure; a services-based approach as highlighted by Lenovo's Innovators program; and an AI appliance like IBM's watsonx, with risk declining for each method in order. Each approach has its advantages and disadvantages, so let's cover each in turn.
The most failures I've seen come from the DIY approach largely because AI, particularly generative AI, is new, and companies lack the AI expertise they need to build a solution that will work best for them. However, those that do have the experience will generally find that being able to pick from a pool of vendors they have already vetted and using their greater knowledge of their existing business structure and business imperatives should be able to craft a solution that better meets their needs.