University research represents a $2 trillion untapped goldmine that most executives are missing. Generative AI is revolutionizing this landscapeleading universities report 40-60% efficiency gains in technology scouting and evaluation through AI integration. This book guides leaders, managers, and practitioners on how they can leverage AI-powered scouting and strategic university alliances to access breakthrough technologies. It synthesizes decades of pioneering research and practical experience in technology transfer and provides a data-driven blueprint for executives that combines analytical rigor with proven methodologies for successful university-industry collaborations. The authors provide actionable strategies for identifying, evaluating, and commercializing breakthrough academic discoveries that can redefine the industries and secure companies' competitive future. From leveraging AI-powered scouting to navigating complex IP landscapes and capitalizing on global talent pipelines, this book equips managers, leaders and **** executives with insights to transform academic potential into quantifiable market value.

Offers a unique executive playbook linking Generative AI with global university innovation Provides a data-driven blueprint for successful university-industry collaborations Provide actionable strategies for identifying, evaluating, and commercializing breakthrough academic discoveries

Autorentext

Clifford Gross is CEO of Tekcapital plc (UK), a public technology commercialization company focused on transforming university-derived innovations into high-growth enterprises. With more than 25 years of leadership experience spanning academia, intellectual property strategy, and capital markets, he has dedicated his career to bridging the gap between research laboratories and global markets. Previously, Dr. Gross served as CEO of Innovacorp, the provincial venture capital fund of Nova Scotia and held senior academic appointments including Acting Director of the Graduate Program in Biomechanics and Ergonomics at New York University, Chairman of the Nelson Rockefeller Department of Biomechanics at the New York Institute of Technology, and Research Professor at the University of South Florida. He is the author or co-author of multiple books, including Too Good to Fail: Creating Marketplace Value from the World's Brightest Minds (Springer, 2013), and is a Fellow of the National Academy of Inventors. His work focuses on the commercialization of intellectual property, AI-enabled innovation ecosystems, and scalable models for translating research into products that can improve the quality of life and enhance enterprise value.

Jonathan Roy is the Founder and Director of UK Investor Group and the owner of UK Investor Magazine. He has over 15 years of experience in financial markets. Writes on a broad selection of investments themes and hosts the UK Investor Magazine Podcast.

Inhalt

Chapter 1: Our Age of GenAI.- Chapter 2: Decoding the University Innovation Economy.- Chapter 3: The Technology Transfer Ecosystem: Players and Pathways.- Chapter 4: A Strategic Framework for Commercial Success.- Chapter 5: Building Your University Partnership Pipeline.- Chapter 6: Intellectual Property Strategy and Deal Architecture.- Chapter 7: Bridging the Valley of Death: The Gap Programs Revolution.- Chapter 8: From Spinout to Scale-Up: The Entrepreneurial Pathway.- Chapter 9: Industry-Specific Commercialization Strategies.- Chapter 10: Global Technology Transfer Trends.- Chapter 11: The Digital Transformation of Technology Transfer.- Chapter 12: Success Stories and Billion-Dollar Lessons.- Chapter 13: he Impact of Generative AI on University Technology Transfer.- Chapter 14: The Impact of Reduced Federal Grant Funding.- Chapter 15: GenAI-Powered Discovery: Accelerating Research Insights.- Chapter 16: GenAI-Enhanced Partnering and Licensing.- Chapter 17: The Human-AI Collaboration Dividend.- Chapter 18: Ethics in Technology Transfer.- Chapter 19: National Security and Geopolitics of Technology Transfer.- Chapter 20: The Future of Education and Workforce in Technology Transfer.- Chapter 21: Measuring the True Impact of Technology Transfer.- Chapter 22: Conclusion: Human Capital, AI, and the Future of Technology Transfer.