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IC-SDV 2019: Anna Maria VIlla: Technology fields supported by machine learning: A case study

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A recurrent topic in patent landscaping, monitoring and analysis is the necessity to operate in a defined technology field. The definition of such a field is, however, not always straightforward due to the ever increasing data volume and complexity. In addition, a traditional, classification based approach is often insufficient to encompass the relevant data in a growingly interdisciplinary context.
A number of predefined, precision rather than recall oriented technology fields is being developed by ip-search and rendered available within the PatentSight business intelligence platform. Further specificity can be achieved, if desired, via the application of a machine learning system.
A case study is presented.

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IC-SDV 2019: Anna Maria VIlla: Technology fields supported by machine learning: A case study

  1. 1. Technology fields and Machine Learning: A case study IC-SDV 2019 Nice, France Anna Maria Villa Swiss Federal Institute of Intellectual Property – ip-search Machine Learning/AI Additive Manufacturing Biopharma Protein Engineering Robotics Autonomous Driving Wearables Blockchain Data Security Smart City ?
  2. 2. Technology is growing in complexity and interdisciplinarity 2 EP3424461US6357074 in early life (1998) in present life (2016)
  3. 3. …giving rise to new ecosystems 3 And a.o. to exponential growth of the volume and complexity of IP related information
  4. 4. ip-search: ready-to-use Technology fields in the PatentSight BI 4
  5. 5. 5 AI & machine learning permeates most technical fields I
  6. 6. AI&machine learning permeates most technical fields II 6 Machine Learning/ AI Additive Manufacturing Biopharma Protein Engineering Robotics Autonomou s Driving Wearables Blockchain Data Security Smart City ? Multiple technical fields as per ip-search…
  7. 7. 7 AI&machine learning permeates most technical fields III Artificial intelligence and … Data security Biopharma Autonomous Driving Blockchain Additive Manufacturing Protein Engineering Wearables Smart City Robotics PatentAssetIndex Reporting Date
  8. 8. 8 World Class Patents are present in every cluster Artificial intelligence and … Data security Biopharma Autonomous Driving Blockchain Additive Manufacturing Protein Engineering Wearables Smart City Robotics Number of Active Families AverageStrength
  9. 9. 9 World Class Patents: where do they come from ? Number of Active Families AverageStrength
  10. 10. AI&machine learning and ? 10 Machine Learning/ AI Additive Manufacturing Biopharma Protein Engineering Robotics Autonomou s Driving Wearables Blockchain Data Security Smart City ? Your technical field as per your definition…
  11. 11. Machine Learning and Medical Bionics: Activity 11
  12. 12. Machine Learning and Medical Bionics: Geography 12
  13. 13. 13 Machine Learning and Medical Bionics: Origin of world class patents (USA excluded)
  14. 14. Technology matrix: in which domains are the main players active? 14
  15. 15. Machine Learning and Medical Bionics: Invention 1 15 https://biodesign.seas.harvard.edu/soft-exosuits
  16. 16. 16 Machine Learning and Medical Bionics: Invention 2
  17. 17. 17 Machine Learning and Medical Bionics: Invention 3
  18. 18. Curious? Would you like to learn more? • Anna Maria Villa T +41 31 377 73 46 annamaria.villa@ip-search.swiss • Manuel Wirz T +41 31 377 73 75 manuel.wirz@ip-search.swiss Swiss Federal Institute of Intellectual Property ip-search Stauffacherstrasse 65/59g | CH-3003 Bern 18 www.ip-search.swiss
  19. 19. Patent searches for you. Reliable. Precise. Meaningful.

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