This paper examines the essential role of mathematics as the foundational backbone of artificial intelligence (AI) and data science, emphasizing its critical importance in driving technological advancement, innovation, and evidence-based decision-making. Mathematics provides the theoretical frameworks and analytical tools that underpin AI algorithms, machine learning models, and large-scale data analytics, enabling intelligent systems to learn, predict, and optimize outcomes. With India’s strategic national vision of Viksit Bharat 2047, which aspires to transform the country into a developed nation by the centenary year of independence, the integration of mathematics into emerging technologies becomes both a necessity and a strategic priority. The study explores how core mathematical disciplines such as linear algebra, calculus, probability and statistics, optimization, and discrete mathematics form the intellectual foundation of AI and data science applications. These applications are increasingly influencing critical sectors including education, healthcare, governance, finance, smart infrastructure, cyber security, and scientific research. By strengthening mathematical capacity at all levels of education and research, India can foster innovation, enhance workforce readiness, and support data-driven policy formulation. Furthermore, the paper discusses the role of mathematics education and research in nurturing analytical thinking, problem-solving skills, and technological competence aligned with the goals of Atmanirbhar Bharat and digital transformation initiatives. It argues that sustained investment in mathematics-centric curricula, interdisciplinary research, and skill development will significantly contribute to India’s global competitiveness in AI and data science. Ultimately, the paper positions mathematics as a strategic enabler in realizing the long-term socio-economic and technological objectives of Viksit Bharat 2047.
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Santosh M. Popade
Marathwada Agricultural University
Marathwada Agricultural University
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Santosh M. Popade (Fri,) studied this question.
synapsesocial.com/papers/69e47321010ef96374d8f04e — DOI: https://doi.org/10.5281/zenodo.18507605