Artificial Intelligence Operating Model: A Proposal Framework for AI Operationalization and Deployment
- 1 Laboratory of Systems Analysis, Information Processing and Industrial Management, Higher School of Technology, Mohammed V University, Rabat, Morocco
Abstract
At the heart of the newenterprise, across all activities, is a decision factory governed by some kindof intelligence. Among the great promises of Artificial Intelligence (AI) isits ability to lead to a significant evolution in the amount of data received,processed, or generates by companies, particularly those with a digitalconnotation. To bring about dramatic changes, AI does not need to be sciencefiction but simply a new way of approaching computerization subjects whether interms of design, development, or terms of expected results. It should be notedthat traditional IT solutions present a form of AI called - Weak AI - while theAI that is the subject of much noise, hype, and promises of transformation andpotential for growth is called - Strong AI -. This article aims to present, ina didactic way, a model called D2MO (For Data Ops, ML Ops, Model Ops, and AIOps) allowing the company to operationalize, in a structured approach, AIsubjects, activities, and projects. We target through this article to provideboth IT and business experts with a new framework offering a perfectarticulation between the different bricks and actors entering into thecomposition of an AI-based system thus allowing them to operate in harmony andan agile mode while taking advantage of this technology.
DOI: https://doi.org/10.3844/jcssp.2022.1100.1109
Copyright: © 2022 Mustapha Lahlali, Naoual Berbiche and Jamila El Alami. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Artificial Intelligence
- ML Ops
- AI Ops
- Data Ops
- Model Ops