How Enterprise must be Prepared to be “AI First”?

Abstract

Among disruptive technologies, Artificial Intelligence (AI), Robotic Process Automation (RPA) and Machine Learning (ML) play a very important role in Businesses Transformation and continues to show great promise for creating new sources of wealth and new business models. The reality of AI in the company is not reduced to a simple process optimization. In fact, AI introduces new organizational schemes, new ways of working, new optimization niches, new services, other ways of thinking about interactions with customers and therefore a new way of doing business. It thus reshuffles competitive data and imagine innovative processes to create new business models, offering new opportunities not only for IT solution providers but also for innovators, investors and business owners. Even if the contribution of Artificial Intelligence is not to be proved, many companies face difficulties in adopting this technology, mainly due to the lack of a pragmatic approach highlighting the roles and responsibilities of the various stakeholders, especially IT professionals and business owners and the key steps to follow to make this experience a real success. This research aims to answer fundamental questions, in particular: What will bring the implementation of this technology to the business of the company? How to prepare for this adoption? and if the decision to go is confirmed, what kind of adoption approach should companies follow? and finally how can Enterprises monitor this shift to the Intelligent edge.

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

“…To bring together all the ingredients that will have to contribute to the successful deployment of this type of model, companies are required to put in place the necessary prerequisites in terms of technological capacities (platforms, infrastructures, and skills) and also in terms of organizational and financial aspects (Lahlali et al, 2021).…”

Technology readiness and the organizational journey towards AI adoption: An empirical study

“…AI cannot be adopted without collaboration between different functions of a company (Akkiraju et al, 2020) and that collaboration typically takes place in the context of an IS project. Pilot projects have been recommended as a route to adoption for organizations that are new to AI (Lahlali, Berbiche, & El Alami, 2021), but Neumann, Guirguis & Steiner (2022) describe adoption as "an ongoing process instead of a single point in time". From this perspective, an isolated pilot project is unlikely to result in mature adoption.…”