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Business Transformation and Enterprise Architecture Projects: Natural Language Programming (NLP)

Business Transformation and Enterprise Architecture Projects: Natural Language Programming (NLP)

Antoine Trad
Copyright: © 2022 |Pages: 43
ISBN13: 9781799884767|ISBN10: 1799884767|EISBN13: 9781799884774
DOI: 10.4018/978-1-7998-8476-7.ch005
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MLA

Trad, Antoine. "Business Transformation and Enterprise Architecture Projects: Natural Language Programming (NLP)." Handbook of Research on Applying Emerging Technologies Across Multiple Disciplines, edited by Emiliano Marchisio, IGI Global, 2022, pp. 79-121. https://doi.org/10.4018/978-1-7998-8476-7.ch005

APA

Trad, A. (2022). Business Transformation and Enterprise Architecture Projects: Natural Language Programming (NLP). In E. Marchisio (Ed.), Handbook of Research on Applying Emerging Technologies Across Multiple Disciplines (pp. 79-121). IGI Global. https://doi.org/10.4018/978-1-7998-8476-7.ch005

Chicago

Trad, Antoine. "Business Transformation and Enterprise Architecture Projects: Natural Language Programming (NLP)." In Handbook of Research on Applying Emerging Technologies Across Multiple Disciplines, edited by Emiliano Marchisio, 79-121. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-8476-7.ch005

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Abstract

This chapter proposes the fundaments of artificial intelligence (AI) and is the basics of the author's framework that is specialized in transformation initiatives. The proposed natural language programming (NLP) concept is supported by the author's applied holistic mathematical model (AHMM) for AI (AHMM4AI) that is the result of research on AI, business, financial, and organizational transformations using applied mathematical models. This research is based on years of cross-functional research initiatives and on an authentic and proprietary mixed research method that is supported by an authentical version of an AI search tree, which is combined with an internal heuristics motor, which is applied to requirements NLP strategy. The proposed AHMM4AI-based NLP fundamentally functions like the human empiric decision-making process that can be compared to the behaviour-driven development methods, which are optimal for complex software engineering.

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