The Role of AI for Smart Environments based on Big Data and IoT Applications
The modern business environment is characterized by a high degree of variability, uncertainty, and complexity. To cope with the challenges of the environment, to take advantage of new opportunities and to function effectively, organizations rely on innovative techniques, approaches, and models. In this study, based on a semi-systematic literature review method, the entry of AI into the systems based on Internet of Things (IoT) and Big Data and the role of Artificial Intelligence (AI) for the construction of the so-called smart environment were investigated. The intelligent environment, from the point of view of business, is an ecosystem that integrates various leading technologies to organize and maintain efficient and highly effective operational structures. AI transforms the data-driven business intelligent environment into an environment that is not only informed and intelligent but is also capable of real-time optimization. I.e., AI transforms traditional business systems into dynamic and highly adaptive systems that can respond to changing conditions in real time. The report explores AI's role as an engine for business with a focus on new opportunities and challenges in its use. The report highlights the critical role of AI in optimizing business intelligent environment to smart environment by leveraging Big Data and IoT. It highlights how new AI driven operations and new insights are improving automation, decision-making, and overall efficiency, modeling intelligent systems that adapt in real-time. These systems subsequently transform industries and improve people's quality of life.
Authors
- Petya Popova (ORCID: https://orcid.org/0000-0002-3988-3651)
- Mariana Petrova (ORCID: https://orcid.org/0000-0003-1531-4312)
Institutions
- D. A. Tsenov Academy of Economics (BG)
Publication Details
- Published
- 2024-11-20
- DOI
- https://doi.org/10.1109/ciees62939.2024.10811252
- Citations
- 5
- Primary Topic
- Impact of AI and Big Data on Business and Society
- Type
- article
- Field-Weighted Citation Impact
- 2.45