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Comprehensive Overview of Artificial Intelligence Applications in Modern Industries

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arxiv 2409.13059 v1 pith:GU34K6TB submitted 2024-09-19 cs.LG cs.AI

classification cs.LGcs.AI
keywords industriesapplicationsartificialchallengesintelligenceacrossaddressbusiness
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Artificial Intelligence (AI) is fundamentally reshaping various industries by enhancing decision-making processes, optimizing operations, and unlocking new opportunities for innovation. This paper explores the applications of AI across four key sectors: healthcare, finance, manufacturing, and retail. Each section delves into the specific challenges faced by these industries, the AI technologies employed to address them, and the measurable impact on business outcomes and societal welfare. We also discuss the implications of AI integration, including ethical considerations, the future trajectory of AI development, and its potential to drive economic growth while posing challenges that need to be managed responsibly.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 3 citations worldwide. Full citation record

  1. Tutorial on Using Machine Learning and Deep Learning Models for Mental Illness Detection

    cs.CL 2025-02 conditional novelty 2.0 of 10

    A tutorial-style benchmark showing that standard classifiers reach binary F1 0.93 to 0.96 and multiclass F1 0.75 to 0.78 on a Kaggle mental-health text dataset, with no new method or result introduced.

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