Exploring the Future of Patent Analytics
In a connected world, where successful technological development increasingly depends on collaboration between different partners, effectively utilising patent data analytics has significant, yet untapped, potential. Given the right analytics solutions, this high-quality data can be used for decision-making at a strategic level in a variety of organisation types.
The Innovation and Intellectual Property Management Group (IIPM), within the Centre for Technology Management (CTM), Institute for Manufacturing (IfM), Engineering Department, University of Cambridge, has recently published a new report on “Exploring the Future of Patent Analytics”. The report contributes to expanding the field of patent analytics for more effective exploitation of the largest worldwide repository of technological information. The report may further help to facilitate collaboration and coordinated action within the patent analytics community.
The present report will do much to focus the community’s attention on the current status and future directions of patent analytics and its applications. It is to be hoped that this report is the first of many.
The report presents a domain-level technology roadmap following a three-stage technology roadmapping and problem-solving approach involving a substantial amount of key industry stakeholders. This research was funded by the United Kingdom Engineering Physical Science Research Council (EPSRC), as part of an EPSRC Institutional Sponsorship Grant 2016 — Small Partnership Awards, and supported by the Cambridge Big Data initiative, and Aistemos Ltd as the industrial partner.
Using Artificial Intelligence to search patent databases for hidden gems could drastically accelerate the rate of global technology innovation by helping to connect companies that are working in similar technology areas. The goal of our report is to further help to facilitate collaboration and coordinated action within the patent analytics community to bring companies together to work on technology innovation.
The report identifies 11 priority technologies, such as artificial intelligence and neural networks, 5 additional technologies, such as technologies for linking databases, and 15 complementary technologies, such as block chain, to be adopted in the field and which are important in terms of overcoming the problems discussed in this research.
The report also identifies 21 enablers for potential breakthrough progress in the IP field that cluster around 4 themes: technology development cycles and methodologies; legislation and standardisation for patent data quality; continuous professional development; and cooperation between industry and academia.
Report download link: https://www.ifm.eng.cam.ac.uk/insights/innovation-and-ip-management/exploring-the-future-of-patent-analytics/
Report citation:
Aristodemou L., and Tietze F., (2017) Exploring the Future of Patent Analytics: A technology roadmapping approach, Centre for Technology Management Insights Reports, ISBN: 978–1–902546–84–1, Available at: https://www.ifm.eng.cam.ac.uk/insights/innovation-and- ip-management/exploring-the-future-of-patent-analytics/
