Source-specific research metrics and selected papers.

01

Conference paper

Conference paper | 2024 | 0 citations

The future of digi-marketing: An obsessed artificial intelligence approach

V Vimalnath, Ramar Veluchamy, KK Karthick, M Ganesan Alias Kanagaraj

AIP Conference Proceedings

In the world of electronics, digital marketing has brought marketing into the realm of the technological. We all know that artificial intelligence has an influence on the field of digital marketing. Incorporating new technology has made it simpler to contact customers and personalise messages to their unique requirements and desires, which has resulted in a significant portion of the transformation. Customer acquisition expenses are being reduced, customer experiences are being managed and marketing to potential employees are all being improved by AI-enabled digital marketing. It is also revolutionizing the way businesses change their accessible consumers through social media. There are several real-life instances of businesses that are implementing artificial intelligence in their digital marketing strategies. Modern digital marketing methods are being transformed by artificial intelligence (AI).

02

Conference paper

Conference paper | 2026 | 0 citations

Exploring the intersection of social science and language models: An AI-driven research agenda

Karthick K KV. VimalnathRamar VeluchamyM. Ganesan Alias Kanagaraj

AIP Conference Proceedings

The paper assumes that there is correlation between the Gen AI driven language model and some of the social science disciplines and thus this research paper seeks to establish such existing relations and connections. It speaks about how these two disciplines are interrelated and then integrate with each other leading to combined research and mutual understanding. Therefore, the paper uses a literature review approach that involves reviewing studies, articles and publications in order to establish the areas under which Gen AI driven language model and social science overlap. Therefore, the current study concludes that there is a symbiotic relationship between the Gen AI driven language model and social science in terms of research methodologies, theoretical frameworks, and areas of mutual concern including language, culture, society, and critique.

03

Conference paper

Conference paper | 2026 | 0 citations

Big data-driven risk management: Transforming financial stability in a volatile market

V., Vimalnath, V. , R., Veluchamy, Ramar , K.K., Karthick, K. K. , M., Ganesan Kanagaraj, M.

AIP Conference Proceedings

The financial industry is at a crossroads, grappling with the challenges of a rapidly evolving landscape. In response, this research paper presents a bold new vision for risk management, one that harnesses the power of big data and advanced analytics to anticipate and mitigate potential threats. By leveraging the insights of human experts and the pattern-recognition capabilities of machine learning, we have developed a groundbreaking approach that redefines the boundaries of risk management. Our research demonstrates the potential of big data-driven risk management to enhance financial stability, resilience, and sustainability. We explore the implications of this approach for financial institutions, regulators, and the broader economy, highlighting the opportunities and challenges that lie ahead.