Artificial Intelligence in Business

  • Unique Paper ID: 187897
  • PageNo: 7354-7360
  • Abstract:
  • Artificial Intelligence (AI) has become a core driver of transformation across modern businesses, reshaping how organizations operate, innovate, and make decisions. Companies in sectors such as retail, finance, healthcare, and manufacturing increasingly rely on AI tools—including machine learning, natural language processing, and predictive analytics—to streamline operations, improve customer experiences, and support data-driven strategies. These technologies enable faster analysis, automation of complex tasks, and more accurate forecasting, helping businesses remain competitive in rapidly changing markets. Despite these benefits, AI adoption also introduces challenges related to data privacy, ethical use, and workforce adaptation. Ensuring transparency, accountability, and responsible deployment remains essential for long-term success. This paper examines AI’s growing influence on business functions, explores its transformative potential, and discusses the obstacles organizations must address to achieve sustainable and ethical AI-enabled growth. Furthermore, AI is enabling organizations to rethink traditional business models by introducing smarter, more adaptive systems that respond quickly to real-time data. Innovations such as autonomous decision-making tools, intelligent recommendation engines, and AI-enabled process optimization allow companies to design flexible operations that can scale efficiently as market conditions evolve. This shift not only strengthens organizational agility but also opens opportunities for new products, services, and customer engagement methods that were previously not feasible. As AI technologies continue to advance, businesses that proactively integrate these capabilities will be better positioned to achieve long-term resilience and sustained competitive advantage.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{187897,
        author = {Megha Sahu and Twinkle Sharma},
        title = {Artificial Intelligence in Business},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {7354-7360},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187897},
        abstract = {Artificial Intelligence (AI) has become a core driver of transformation across modern businesses, reshaping how organizations operate, innovate, and make decisions. Companies in sectors such as retail, finance, healthcare, and manufacturing increasingly rely on AI tools—including machine learning, natural language processing, and predictive analytics—to streamline operations, improve customer experiences, and support data-driven strategies. These technologies enable faster analysis, automation of complex tasks, and more accurate forecasting, helping businesses remain competitive in rapidly changing markets.
Despite these benefits, AI adoption also introduces challenges related to data privacy, ethical use, and workforce adaptation. Ensuring transparency, accountability, and responsible deployment remains essential for long-term success. This paper examines AI’s growing influence on business functions, explores its transformative potential, and discusses the obstacles organizations must address to achieve sustainable and ethical AI-enabled growth. Furthermore, AI is enabling organizations to rethink traditional business models by introducing smarter, more adaptive systems that respond quickly to real-time data. Innovations such as autonomous decision-making tools, intelligent recommendation engines, and AI-enabled process optimization allow companies to design flexible operations that can scale efficiently as market conditions evolve. This shift not only strengthens organizational agility but also opens opportunities for new products, services, and customer engagement methods that were previously not feasible. As AI technologies continue to advance, businesses that proactively integrate these capabilities will be better positioned to achieve long-term resilience and sustained competitive advantage.},
        keywords = {Artificial Intelligence, Business, Automation, Innovation, Business Strategy},
        month = {November},
        }

Cite This Article

Sahu, M., & Sharma, T. (2025). Artificial Intelligence in Business. International Journal of Innovative Research in Technology (IJIRT), 12(6), 7354–7360.

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