Entrepreneurial Development Through AI Techniques: Future Directions for Business Innovation

Entrepreneurial Development Through AI Techniques: Future Directions for Business Innovation

IMr.Arivazhagan Veerapandiyan , IIMr. Parthasarathi Murugesan, IIIMr. P.Manikandan IIIMs. S.Lathika, IVMr. M.Vimalraj,  VMs. K. Suguna

1Assistant Professor of Master of Business Administration, Knowledge institute of Technology, Salem,

2Assistant Professor of Department of Computer Science (PG), Kristu Jayanti College, Bangalore,

3Assistant Professor of Master of Business Administration, Knowledge institute of Technology, Salem,

4Student of Master of Business Administration (IEV), Knowledge institute of Technology, Salem

5Student of Master of Business Administration (IEV), Knowledge institute of Technology, Salem

6Student of Master of Business Administration, Knowledge institute of Technology, Salem

Abstract

Integration of artificial intelligence (AI) into entrepreneurial systems revolutionizes business strategies, operating efficiency and market scalance. This article examines the transformation role of AI in promoting the development of entrepreneurship, which emphasizes applications such as future analysis, natural language treatment (NLP) and machine learning (ML). By analysing the case study and new trends, the study sheds light on how AI-operated equipment increases the decision, customers' involvement and resource adjustment. Challenges, including moral concerns, privacy and implementation costs for data, are greatly evaluated. This article concludes with recommendations for future research, which calls for interdisciplinary collaboration to exploit the full potential of AI in sustainable trade innovation.

Keywords: Artificial intelligence, entrepreneurship, predictive analysis, machine learning, business innovation