Patent Analytics: Transforming IP Strategy into Intelligence

Patent Analytics: Transforming IP Strategy into Intelligence

Author
Jieun Kim, Buyong Jeong, Daejung Kim
Publisher
Springer
Language
English
Year
2021
Page
228
ISBN
9811629293,9789811629297
File Type
pdf
File Size
13.9 MiB

Through the prisms of a data scientist, a patent attorney, and a designer, this book demystifies the complexity of patent data and its structure and reveals their hidden connections by employing elaborate data analytics and visualizations using a network map. This book provides a practical guide to introduce and apply patent network analytics and visualization tools in your business. We incorporate case studies from renowned companies such as Apple, Dyson, Adobe, Bose, Samsung and more, to scrutinise how their underlying values of patent network drive innovation in their business. Finally, this book advances readers’ perspective of patent gazettes as big data and as a tool for innovation analytics when coupled with Artificial Intelligence.

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