Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper

Bogatinovski, Jasmin; Nedelkoski, Sasho; Acker, Alexander; Schmidt, Florian; Wittkopp, Thorsten; Becker, Soeren; Cardoso, Jorge; Kao, Odej

doi:10.48550/arxiv.2101.06054

Cited by 2 publications

(1 citation statement)

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“…Some studies (Bogatinovski et al, 2021) have focused on the limiting nature of research in the field of AI Ops by qualifying it as an area requiring more structured approaches and procedures. We note also that this subject is becoming the "honey pot" of several researchers and analysts, as shown by the growing number of publications produced and dealing with this theme.…”

Section: Ai Opsmentioning

confidence: 99%

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

Lahlali¹,

Berbiche²,

Alami³

2022

Journal of Computer Science

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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.

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Section: Ai Opsmentioning

confidence: 99%