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The main objective of the article is to study the impact of new technologies on project management and quality assurance in modern conditions. Technological innovations such as artificial intelligence, blockchain, cloud solutions and process automation have significantly changed the working methods and approaches to project implementation. The main aspects of how these technologies help improve planning, coordination and monitoring processes, and also contribute to increased transparency and efficiency are substantiated. The use of data analytics and the integration of smart project management systems allows you to more accurately predict results and minimize risks. The impact of technologies on quality control is substantiated, with an emphasis on the automation of testing and control processes, as well as the use of machine learning to improve the quality of products and services. These changes lead to a decrease in the number of errors and an increase in the speed of response to possible problems. The importance of adapting new technologies in the field of project management and quality is revealed, which requires specialists to be ready for continuous training and the implementation of innovative solutions.

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How New Technologies Are Changing Approaches to Project Management and Quality

  • 章节

  • 发表日期：

    2026年

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  • Hassan Ali Al-Ababneh,
  • N. Al Refai Mohammed,
  • Salem A. S. Alrhaimi,
  • Hossam Haddad,
  • Zakaria Azzam,
  • Suleiman Ibrahim Mohammad,
  • Asokan Vasudevan

摘要

The main objective of the article is to study the impact of new technologies on project management and quality assurance in modern conditions. Technological innovations such as artificial intelligence, blockchain, cloud solutions and process automation have significantly changed the working methods and approaches to project implementation. The main aspects of how these technologies help improve planning, coordination and monitoring processes, and also contribute to increased transparency and efficiency are substantiated. The use of data analytics and the integration of smart project management systems allows you to more accurately predict results and minimize risks. The impact of technologies on quality control is substantiated, with an emphasis on the automation of testing and control processes, as well as the use of machine learning to improve the quality of products and services. These changes lead to a decrease in the number of errors and an increase in the speed of response to possible problems. The importance of adapting new technologies in the field of project management and quality is revealed, which requires specialists to be ready for continuous training and the implementation of innovative solutions.