The Transformative Applications of Machine Learning across Healthcare, Finance, IoT, and Emerging Domains: Challenges and Future Directions

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sahar Yousif Mohammed

Abstract

Language learning has changed in recent years with the inclusion of Artificial
Intelligence (AI) bots. This paper discusses how AI bots have changed language
acquisition, paying more attention on how they improve language learning
experience. The Article looks at what prominent AI bots such as Gemini,
ChatGPT and Cloud can do to make personalized feedback a reality as well as
enhance interactivity and convenience in language learning.This article examines
the functionality of adaptive learning algorithms which correct errors in real time,
along with immersive environments that demonstrate the importance of artificial
intelligence bots in achieving effective language acquisition. AI Bots are enabling
better tutoring, increased cultural awareness and expanded learning choices.The field
of foreign language education has been revolutionized thanks to tailored support
provided by AI bots that promote cultural understanding and also offer flexible ways
for studying.

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How to Cite
Mohammed, sahar Y. (2024). The Transformative Applications of Machine Learning across Healthcare, Finance, IoT, and Emerging Domains: Challenges and Future Directions. Babylonian Journal of Machine Learning, 2024, 165–176. https://doi.org/10.58496/BJML/2024/017
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