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The Business, Societal, and Enterprise Architecture Framework: An Artificial Intelligence-, Data Sciences-, and Big Data-Based Approach

The Business, Societal, and Enterprise Architecture Framework: An Artificial Intelligence-, Data Sciences-, and Big Data-Based Approach
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Author(s): Antoine Trad (IBISTM, France)
Copyright: 2021
Pages: 44
Source title: Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry
Source Author(s)/Editor(s): Valentina Chkoniya (University of Aveiro, Portugal)
DOI: 10.4018/978-1-7998-6985-6.ch022

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Abstract

In this chapter, the author presents an artificial intelligence (AI)-based generic concept for decision making using data science. The applied holistic mathematical model for AI (AHMM4AI) focuses on data and access management. A decisive business decision in a business transformation process of a traditional business environment into an automated AI-based business environment is the capacity of the decision-making system and the profile of the business transformation manager (BTM, or simply the manager). The manager and his team are supported by a holistic framework. The role of data science and the needed data modelling techniques are essential for managing data models in a transformation project. For that reason, the development of the big data for AI (BGD4AI) is an essential start.

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