TOGAF Framework For an AI-enabled Software House

Authors

  • Nathaniel Crosley Universitas Pradita, Tangerang, Indonesia
  • Richardus Eko Indrajit Universitas Pradita, Tangerang, Indonesia
  • Erick Dazki Universitas Pradita, Tangerang, Indonesia

DOI:

10.33395/sinkron.v8i2.12390

Keywords:

Artificial Intelligence, TOGAF, Enterprise Architecture, AI-Enabled, Software House

Abstract

The integration of artificial intelligence (AI) in software development has revolutionized the industry, leading to faster and more accurate results. However, the implementation of AI requires a robust framework to ensure effective planning, design, implementation, and maintenance of AI-enabled software systems. The Open Group Architecture Framework (TOGAF) provides such a framework, enabling organizations to develop a structured and integrated approach to AI-enabled software development. In this journal, we present a case study of how a software house utilized the TOGAF framework to integrate AI in their software development processes. We discuss the challenges faced by the organization in the integration process and how the TOGAF framework provided a structured approach to overcome these challenges. We also highlight the benefits that the organization realized through the implementation of AI-enabled software systems. The case study presented in this journal demonstrates the applicability of the TOGAF framework in AI-enabled software development, and its potential to enhance the capabilities and competitiveness of software houses. The TOGAF framework provides a structured approach to the integration of AI in software development, ensuring that organizations can effectively leverage the benefits of AI while minimizing the associated risks and challenges.

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How to Cite

Crosley, N. ., Indrajit, R. E. ., & Dazki, E. . (2023). TOGAF Framework For an AI-enabled Software House. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 7(2), 1140-1152. https://doi.org/10.33395/sinkron.v8i2.12390

Issue

Vol. 7 No. 2 (2023): Research Article, Volume 7 Issue 2 April, 2023

Section

Articles

License

Copyright (c) 2023 Nathaniel Crosley, Richardus Eko Indrajit, Erick Dazki

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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