The term “AI implementation” can refer to the process of installing and configuring AI software within an organization, or it can refer to the organizational changes that are necessary to support an AI initiative. Here, we will focus on the latter – what are the key parameters for a successful AI implementation in an organization?
There are four key parameters for a successful AI implementation: 1) leadership commitment; 2) technical feasibility; 3) data availability; and 4) organizational readiness. Let’s take a closer look at each of these:
1) Leadership commitment: For any major organizational change – such as implementing AI – it is critical that senior leaders are committed to the initiative. This means they must be willing to provide the necessary resources (financial, human, etc.), make decisions in support of the initiative, and be held accountable for its success or failure. Without this commitment from senior leaders, it is very unlikely that an AI implementation will be successful.
2) Technical feasibility: In order for an AI implementation to be technically feasible, the organization must have access to appropriate hardware and software resources, as well as skilled personnel who can install and configure these resources. Additionally, the data that will be used by the AI system must be of
