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Innovation Dynamics in BRICS Economies Investigated by Artificial Intelligence

This book explores how artificial intelligence can transform large-scale patent analysis and provide new insights into innovation dynamics within BRICS economies. By integrating machine learning techniques, natural language processing, and advanced patent analytics, the study proposes an AI-driven analytical framework capable of identifying technological trajectories, emerging innovation clusters, and strategic technological opportunities in global innovation […]

ISBN: 979-8-89966-455-7

29.99

Additional information

ISBN

979-8-89966-455-7

Author

Dr. Claudio Zancan

Publisher

Publication year

Language

Number of pages

61

Description

This book explores how artificial intelligence can transform large-scale patent analysis and provide new insights into innovation dynamics within BRICS economies. By integrating machine learning techniques, natural language processing, and advanced patent analytics, the study proposes an AI-driven analytical framework capable of identifying technological trajectories, emerging innovation clusters, and strategic technological opportunities in global innovation systems.

The research demonstrates how artificial intelligence can significantly enhance the analysis of complex patent datasets, enabling a more precise understanding of technological evolution, innovation patterns, and competitive dynamics across emerging economies. By combining computational intelligence with innovation studies, the book offers a novel perspective on how data-driven methods can support technological intelligence and strategic decision-making.

The findings contribute to the academic debate on innovation systems while also offering practical insights for policymakers, companies, and research institutions seeking to understand and navigate the rapidly evolving technological landscape of the BRICS countries.