The future of software development: integrating AI and machine learning into front-end technologies

This paper explores the integration of artificial intelligence (AI) and machine learning into front-end development, highlighting the transformative potential these technologies hold for the future of software development. By automating routine tasks, enhancing predictive capabilities, and improving user engagement, AI and machine learning are set to revolutionize how digital applications are created and experienced. However, this integration is accompanied by significant technical challenges, including the complexity of AI systems, performance concerns, and ethical issues such as data privacy and bias. The paper also discusses current applications and emerging trends in AI-powered front-end technologies, providing a comprehensive overview of the benefits and obstacles. It emphasizes the importance of ongoing research, innovation, and ethical considerations in maintaining the U.S. tech sector's competitive edge in this rapidly evolving field. The findings suggest that while AI and machine learning offer substantial opportunities for innovation, careful implementation is essential to ensure these technologies contribute positively to the future of software development.

Authors

Publication Details

Journal
Global journal of advanced research and reviews
Published
2024-09-10
DOI
https://doi.org/10.58175/gjarr.2024.2.1.0031
Citations
5
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.64
Controls
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article

The future of software development: integrating AI and machine learning into front-end technologies

Adebamigbe Fasanmade, Harrison Oke Ekpobimi, Regina Coelis Kandekere
5 citations
Global journal of advanced research and reviews
Big Data and Business Intelligence
2.64
article

The future of software development: integrating AI and machine learning into front-end technologies

Adebamigbe Fasanmade, Harrison Oke Ekpobimi, Regina Coelis Kandekere
article en
5 citations

Abstract

This paper explores the integration of artificial intelligence (AI) and machine learning into front-end development, highlighting the transformative potential these technologies hold for the future of software development. By automating routine tasks, enhancing predictive capabilities, and improving user engagement, AI and machine learning are set to revolutionize how digital applications are created and experienced. However, this integration is accompanied by significant technical challenges, including the complexity of AI systems, performance concerns, and ethical issues such as data privacy and bias. The paper also discusses current applications and emerging trends in AI-powered front-end technologies, providing a comprehensive overview of the benefits and obstacles. It emphasizes the importance of ongoing research, innovation, and ethical considerations in maintaining the U.S. tech sector's competitive edge in this rapidly evolving field. The findings suggest that while AI and machine learning offer substantial opportunities for innovation, careful implementation is essential to ensure these technologies contribute positively to the future of software development.

Global journal of advanced research and reviewsVol. 2(1)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Big Data and Business Intelligence
2.64
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