AI Adoption Strategies for Entrepreneurial Success: Leveraging Automation, Data Insights, and Personalization in Business Growth.

Abstract/Description

This research paper delves into the realm of Artificial Intelligence (AI) adoption strategies tailored specifically for entrepreneurial success, focusing on how entrepreneurs can effectively leverage automation, data insights, and personalization to drive business growth. Employing a robust multi-methodological approach that encompasses a literature review, real-world case studies, and expert interviews, the study offers a thorough analysis of the potential impact of AI applications in entrepreneurial endeavors. By identifying key areas where AI can be harnessed, including task automation, data-driven decision-making, personalized customer experiences, and innovation in product development, this paper provides actionable insights for entrepreneurs seeking to integrate AI into their ventures. Despite acknowledging challenges such as cost constraints, expertise requirements, and ethical considerations inherent in AI adoption, the research underscores the substantial benefits that AI integration can bring to entrepreneurial ventures. Through the presentation of real-world case studies, the paper showcases how entrepreneurs have successfully implemented AI tools and strategies to achieve tangible business growth outcomes. Ultimately, this study contributes by furnishing entrepreneurs with a comprehensive understanding of AI applications and equipping them with practical knowledge and strategies to navigate the complexities of AI adoption. By empowering entrepreneurs to embrace AI as a transformative technology, this research aims to enable them to gain a competitive edge in the dynamic business landscape, fostering innovation, efficiency, and sustainable growth in their ventures.

Track

Management

Session Number/Theme

4B: Management

Session Chair

Dr. Usman Nazir ; Mrs. Kanza Sohail

Start Date/Time

31-5-2024 9:00 AM

End Date/Time

31-5-2024 10:30 AM

Location

MCS – 4 AMAN CED Building

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May 31st, 9:00 AM May 31st, 10:30 AM

AI Adoption Strategies for Entrepreneurial Success: Leveraging Automation, Data Insights, and Personalization in Business Growth.

MCS – 4 AMAN CED Building

This research paper delves into the realm of Artificial Intelligence (AI) adoption strategies tailored specifically for entrepreneurial success, focusing on how entrepreneurs can effectively leverage automation, data insights, and personalization to drive business growth. Employing a robust multi-methodological approach that encompasses a literature review, real-world case studies, and expert interviews, the study offers a thorough analysis of the potential impact of AI applications in entrepreneurial endeavors. By identifying key areas where AI can be harnessed, including task automation, data-driven decision-making, personalized customer experiences, and innovation in product development, this paper provides actionable insights for entrepreneurs seeking to integrate AI into their ventures. Despite acknowledging challenges such as cost constraints, expertise requirements, and ethical considerations inherent in AI adoption, the research underscores the substantial benefits that AI integration can bring to entrepreneurial ventures. Through the presentation of real-world case studies, the paper showcases how entrepreneurs have successfully implemented AI tools and strategies to achieve tangible business growth outcomes. Ultimately, this study contributes by furnishing entrepreneurs with a comprehensive understanding of AI applications and equipping them with practical knowledge and strategies to navigate the complexities of AI adoption. By empowering entrepreneurs to embrace AI as a transformative technology, this research aims to enable them to gain a competitive edge in the dynamic business landscape, fostering innovation, efficiency, and sustainable growth in their ventures.