Please use this identifier to cite or link to this item: http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31279
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dc.contributor.authorDAUDA, Abdulwaheed-
dc.date.accessioned2026-05-18T05:54:03Z-
dc.date.available2026-05-18T05:54:03Z-
dc.date.issued2025-12-01-
dc.identifier.issnISBN: 978-625-6080-65-2-
dc.identifier.urihttp://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31279-
dc.descriptionDescriptive and empiricalen_US
dc.description.abstractEntrepreneurship has historically thrived on uncertainty, creativity, and the capacity to identify and exploit opportunities in dynamic environments. In recent decades, however, the foundations of entrepreneurial practice have been profoundly reshaped by digital technologies. Among these, Artificial Intelligence (AI) has emerged as the most transformative force, redefining how entrepreneurs discover opportunities, design business models, mobilize resources, and scale ventures. What was once the exclusive domain of science fiction has rapidly matured into a practical set of tools and capabilities permeating nearly every sector of the global economy. The entrepreneurial ecosystem is therefore at a critical inflection point, where the integration of AI is not merely optional but increasingly central to competitive advantage, sustainability, and societal impact. The rationale for examining AI in entrepreneurship is twofold. First, AI has moved beyond back-end efficiency to become a front-line driver of innovation, enabling the development of new products, services, and even entirely new markets. From predictive analytics that identify emerging consumer needs to generative systems that create novel designs, entrepreneurs are leveraging AI to collapse time-to-market cycles and enhance creativity. Second, the widespread adoption of AI raises new strategic, ethical, and institutional challenges. Entrepreneurs must navigate not only the opportunities of personalization, automation, and global reach but also the risks of bias, data dependency, and regulatory uncertainty. This duality underscores the importance of situating AI within the broader entrepreneurial ecosystem to understand both its enabling and constraining dimensions. Artificial Intelligence itself is a multidimensional construct. It encompasses machine learning, natural language processing, computer vision, robotics, and, more recently, generative AI systems. Each of these technologies presents distinct implications for entrepreneurial practice that this chapter is poised to unravel.en_US
dc.description.sponsorshipWriteren_US
dc.language.isoenen_US
dc.publisherFarabi Publishing House Ankara, Türkiyeen_US
dc.relation.ispartofseries;Pg 63-98-
dc.subjectAI-driven entrepreneurshipen_US
dc.subjectAnalytical Intelligenceen_US
dc.subjectAI-Human Collaborationen_US
dc.subjectDigital Platform Entrepreneurshipen_US
dc.subjectNatural Language Processingen_US
dc.subjectTechnology Startupsen_US
dc.titleARTIFICIAL INTELLIGENCE FOR ENTREPRENEURSen_US
dc.title.alternativeCHAPTER 3en_US
dc.typeBook chapteren_US
Appears in Collections:Entrepreneurship and Business Studies

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