Determining job category using AWS machine learning cloud services

Authors

  • Vitalii Pavliuk National university of water and environmental engineering
  • Volodymyr Drevetskyi

DOI:

https://doi.org/10.31713/MCIT.2023.070

Keywords:

information technology, cloud services, Amazon Web Services, job categorization, automation', labor market

Abstract

In this article, the focus is on the modern role of information technology in the labor market, with special emphasis on automation and optimization of processes through cloud solutions. The main theme is the creation of a system for the automatic categorization of job vacancies using Amazon Web Services (AWS). The authors describe the key advantages of implementing cloud technologies, such as scalability, cost savings, availability, and high productivity. Specific AWS services are then discussed, including ECS, DynamoDB, AWS Glue, Amazon SageMaker, and AWS Lambda, which can be applied for the implementation of this system. The article aims to show how AWS technologies can be used to improve efficiency.

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Published

2023-11-22

How to Cite

Pavliuk, V., & Drevetskyi, V. (2023). Determining job category using AWS machine learning cloud services. Modeling, Control and Information Technologies, (6), 227–229. https://doi.org/10.31713/MCIT.2023.070

Issue

No. 6 (2023): Modeling, control and information technologies

Section

Internet of Things (IoT) and artificial intelligence

License

Copyright (c) 2023 Modeling, Control and Information Technologies: Proceedings of International scientific and practical conference

Creative Commons License

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

All materials are distributed under the terms of the Creative Commons Attribution 4.0 International License, which allows others to distribute the work with attribution to the authorship of this work and the first publication in this journal.