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@article{184501,
        author = {Rekha Sahu and Manaswi Gupta and Dr. Goldi Soni},
        title = {A Comprehensive Review on the Future of Artificial Intelligence Technology},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {1761-1766},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184501},
        abstract = {— Artificial Intelligence (AI), big data, and other emerging technologies are driving transformative changes across multiple domains, including healthcare, education, energy, marketing, finance, and cultural systems. In education, AI-powered tools and data-driven platforms enable personalized learning, smart classrooms, and adaptive teaching methods, yet they raise critical concerns over privacy, ethics, and equitable access. In medical education and healthcare, AI supports disease surveillance, diagnostic assistance, predictive analytics, telehealth, and personalized medicine, while highlighting the need to integrate technological proficiency with humanistic care. At the same time, challenges such as algorithmic bias, data governance, and disparities in adoption remain pressing. From an environmental perspective, AI plays a vital role in optimizing renewable energy systems, enhancing microgrid efficiency, and reducing emissions, but its energy-intensive nature risks undermining sustainability and carbon neutrality efforts. In business contexts, AI-driven predictive analytics, chatbots, recommendation systems, and automation are reshaping customer engagement, supply chain management, and decision-making. Similarly, in financial markets, AI enhances trading efficiency and risk assessment but introduces systemic vulnerabilities and regulatory complexities. Across these diverse applications, common themes emerge: AI fosters innovation, efficiency, and personalization, while simultaneously generating ethical, social, and sustainability challenges. The reviewed studies collectively emphasize that responsible governance, cross-sectoral collaboration, and sustainable AI ecosystems are essential to balance opportunities with risks. Ensuring transparent, inclusive, and ethical integration of AI will determine its long-term societal benefits and its role in shaping a more equitable and sustainable digital future.},
        keywords = {Artificial Intelligence, Big Data, Education, Healthcare, Sustainability, Marketing, Finance, Ethics, Regulation, Emerging Technologies},
        month = {September},
        }