Artificial Intelligence Operating Model: A Proposal Framework for AI Operationalization and Deployment

Abstract

At the heart of the new enterprise, across all activities, is a decision factory governed by some kind of intelligence. Among the great promises of Artificial Intelligence (AI) is its ability to lead to a significant evolution in the amount of data received, processed, or generates by companies, particularly those with a digital connotation. To bring about dramatic changes, AI does not need to be science fiction but simply a new way of approaching computerization subjects whether in terms of design, development, or terms of expected results. It should be noted that traditional IT solutions present a form of AI called -Weak AI -while the AI that is the subject of much noise, hype, and promises of transformation and potential for growth is called -Strong AI -. This article aims to present, in a didactic way, a model called D2MO (For Data Ops, ML Ops, Model Ops, and AI Ops) allowing the company to operationalize, in a structured approach, AI subjects, activities, and projects. We target through this article to provide both IT and business experts with a new framework offering a perfect articulation between the different bricks and actors entering into the composition of an AI-based system thus allowing them to operate in harmony and an agile mode while taking advantage of this technology.