Mihail Mateev

Proceedings of the 27th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2023, pp. 168-174 (2023); https://doi.org/10.54808/WMSCI2023.01.168

Mihail Mateev
Computer Aided Engineering Department, University of Architecture, Civil Engineering and Geodesy, Sofia, Bulgaria

Cite this paper as:
Mateev, M. (2023). Predictive Analytics Based on Digital Twins, Generative AI, and ChatGPT. In N. Callaos, E. Gaile-Sarkane, S. Hashimoto, N. Lace, B. Sánchez, M. Savoie (Eds.), Proceedings of the 27th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2023, pp. 168-174. International Institute of Informatics and Cybernetics. https://doi.org/10.54808/WMSCI2023.01.168

ChatGPT (Chat Generative Pre-Trained Transformer) is one of the latest technologies in modern Artificial Intelligence (AI) and probably the technology with the highest impact in this area for the near future.
The latest version of ChatGPT – GPT-4 has improved in several areas, including Predictive Analytics.
Generative AI and Ghat GPT can be used in different areas – not only to generate human-like content easily but also in different business domains in the modern industry, like the construction industry.
This research gives an overview of the application of Generative AI, particularly ChatGPT, for predictive analytics in different areas focusing on the construction and building industry.
The paper analyzes options to use Generative AI together with another essential for modern analysis technology – Digital Twins in two different aspects:
1) To design and build systems for Predictive Analytics
2) To implement Cognitive Digital Twins,
The research used prototypes based on Microsoft Power Platform (Power Virtual Agents, Power Automate), Open AI, and Azure Digital Twins, which can offer predictive analytics in the construction industry.
The article includes results, providing information about cost savings and time reduction when using Generative AI for predictive analytics in the construction industry.