GENERATIVE AI FOR PATENT MINING: SYNTHESIZING INSIGHTS FROM INTELLECTUAL PROPERTY DATA
Keywords:
Generative AI, Patent Mining, Intellectual Property, AI-driven Analytics, Patent Analysis, Machine Learning, Innovation Management, Data Privacy, Industry Case Studies, Future TrendsAbstract
This paper explores the transformative impact of generative AI on patent mining, highlighting how advanced AI techniques are reshaping the way organizations analyze and leverage intellectual property data. By automating the extraction of insights from complex patent documents, generative AI enhances strategic decision-making across various industries. Through real-world case studies, the paper illustrates the practical applications and benefits of AI-driven patent analytics. It also addresses the challenges and limitations, including data privacy concerns and algorithmic biases, while proposing future directions and opportunities for further innovation in the field. The findings suggest that generative AI is poised to play a pivotal role in the future of intellectual property management, offering unprecedented tools for maintaining competitive advantage in the innovation landscape.
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Copyright (c) 2024 S. B. Vinay (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
