ARTIFICIAL INTELLIGENCE IN INFORMATION TECHNOLOGY
Keywords:
Artificial Intelligence, Machine Learning, Speech Recognition and Biometrics, deep learningAbstract
Artificial Intelligence is a broad field that encompasses various concepts in Information Technology. This research paper focuses on different technologies in AI and how they apply to improve the performance of multiple sectors. The purpose of this study is to discuss Artificial Intelligence and its present and future applications. AI is the foundation of multiple concepts, such as computing, software creation, and data transmission. The technologies that use AI are machine learning, deep learning, Natural Language Generation, speech recognition, robotics, and biometric identification. AI applies to many sectors such as healthcare sectors, assembling and manufacturing industries, business organizations, and in the automotive industries. AI also has various advantages that make it gain more popularity in many areas. The AI-powered machine can perform many jobs at once; they are not costly compared to human beings and are accurate and efficient. AI also encounters multiple problems that undermine its application. AI is prone to technical difficulties, security snags, data difficulties, and can cause accidents if users fail to understand the AI system. The increased use of AI has transformed various sectors by boosting the organization's performance and facilitating data safety.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0 DEED).
You are free to:
- Share — copy and redistribute the material in any medium or format
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial — You may not use the material for commercial purposes .
- NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
Rights of Authors
Authors retain the following rights:
1. Copyright and other proprietary rights relating to the article, such as patent rights,
2. the right to use the substance of the article in future works, including lectures and books,
3. the right to reproduce the article for own purposes, provided the copies are not offered for sale,
4. the right to self-archive the article.