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.
Highlights
Artificial Intelligence was certainly born several decades ago, but its rhythm of adoption has clearly accelerated in recent years
To approach Artificial Intelligence (AI) projects, companies must start with an exploration phase which consists in identifying concrete use cases where intelligence is essential and which constitute a real axis of improvement and wealth creation
Our work aims to implement a Model of AI adoption inside the Enterprise
Summary
Artificial Intelligence was certainly born several decades ago, but its rhythm of adoption has clearly accelerated in recent years. This technology is no longer reserved only for the scientific world and its rich, varied and innovative applications are a delight for many companies. This article aims to illustrate how AI can bring a tangible value to the enterprise by answering pragmatic questions. It shows, in a pragmatic approach, how companies can meet the challenges and takes benefits of adopting this technology by making the most of its contributions while minimizing the associated risks
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More From: International Journal of Advanced Computer Science and Applications
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