Artificial Intelligence and Entrepreneurship
Enhancing Competitiveness and Innovation in Emerging Markets
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Beschreibung
Synergy of artificial intelligence (AI) and machine learning (ML) is infinite, leveraging intelligence to foster entrepreneurship…This book dissects every aspect of transcending technology that impacts the new horizon of entrepreneurship. A good read for everyone…
Rebeca-Illiana Arévalo-Martínez, PhD, Research Director, Universidad Anáhuac México
With the manifold impact of AI, the only way for entrepreneurs to get out of a tight box is to adapt to the technology ecosystem…this book bridges a plethora of new concepts on AI and ML connecting entrepreneurs to platform skills and business modeling and case studies…an enriching contribution and a timely book for all…
Neil Hernández Gress, PhD, Director for Research, Tecnologico de Monterrey, Mexico
This book focuses on divergent discussions on entrepreneurial challenges in context to the adaptation to artificial intelligence (AI), machine learning (ML), and robotics to enhance entrepreneurial practices and scope of decision-making. Discussions in this book analyze the chronological growth in technology and the nexus between AI and entrepreneurship to harness the power of technology. This book helps readers to explore new concepts like the synergy between AI and human factors, AI-led business modelling, and working with the real-time entrepreneurial ecosystem.
Rajagopal is Distinguished Professor of Marketing at EGADE Business School of Tecnologico de Monterrey (ITESM), at Mexico City Campus and Life Fellow of the Royal Society for Encouragement of Arts, Manufacture and Commerce, London. He has been Visiting Professor at Boston University, Boston, Massachusetts since 2013.
Ananya Rajagopal is Research Professor at Universidad Anáhuac Mexico. She is a member of the advisory panel of Elsevier Insights and in the editorial board of Humanities and Social Science Communications Journal (Springer Nature). She has contributed five books and several chapters in edited books.
This book focuses on divergent discussions on entrepreneurial challenges in context to the adaptation to artificial intelligence (AI), machine learning (ML), and robotics to enhance entrepreneurial practices and scope of decision-making. Discussions in this book analyze the chronological growth in technology and the nexus between AI and entrepreneurship to harness the power of technology. This book helps readers to explore new concepts like the synergy between AI and human factors, AI-led business modelling, and working with the real-time entrepreneurial ecosystem.
Discusses the challenges and opportunities for the use of AI in entrepreneurship in emerging markets Examines the chronological development of co-intelligence of the human mind and machines Analyzes the evolving cyberscape with cloud tech, LLM, and metaverse growth, impacting entrepreneurship perspectives
Autor*in
Rajagopal
Themen in »Artificial Intelligence and Entrepreneurship«
AI-based entrepreneurial modelling co-intelligence knowledge management innovation and technology cloud computing machine learning Internet of things large language models metaverse competitive advantage
Stimmen zu »Artificial Intelligence and Entrepreneurship«
“Synergy of artificial intelligence (AI) and machine learning (ML) is infinite, leveraging intelligence to foster entrepreneurship. AI and ML concept is much talked in crowd but less explored by the entrepreneurs … This book dissects every aspect of transcending technology that impacts the new horizon of entrepreneurship. A good read for everyone …” (Rebeca-Illiana Arévalo-Martínez, PhD, Research Director, Universidad Anáhuac México)
“With the manifold impact of AI, the only way for entrepreneurs to get out of a tight box is to adapt to the technology ecosystem … with the progressing AI, world is summoning the future and entrepreneurs are not far behind … flowing with concurrence, this book bridges a plethora of new concepts on AI and ML connecting entrepreneurs to platform skills and business modeling with examples and case studies … an enriching contribution and a timely book for all …” (Neil Hernández Gress, PhD, Director for Research, Tecnologico de Monterrey, Mexico)
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