In this episode the complexities of patent searching are explored, highlighting the challenges of navigating vast amounts of data and the limitations of traditional search methods. It advocates for AI-driven tools to improve efficiency and accessibility, focusing on both the retrieval and interpretation of patent information. The conversation emphasises the need for user-friendly interfaces to make this technology valuable for various roles within an organisation, not just patent professionals. Ultimately, it is envisioned a future where AI significantly enhances the use and understanding of patent information across industries.
Show Notes
๐ Here you can find the recording of the live interview with Stefan Brehm in the ๐ฅ๏ธ๐๐ฃ ๐๐๐๐ถ๐ป๐ฒ๐๐ ๐ง๐ฎ๐น๐ธ๐:
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๐ Stefan Brehm has his own page on the digital IP lexicon ๐๐ฑ๐๐ฃ๐น๐ฒ๐
about AI-based patent analysis:
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๐ Please note the current Call for Subject Matter Experts for the IP Business Academy
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๐ If you are interested in the topic of patent research, you can find a comprehensive entry with background information on the ๐๐๐ฃ ๐ ๐ฎ๐ป๐ฎ๐ด๐ฒ๐บ๐ฒ๐ป๐ ๐๐น๐ผ๐๐๐ฎ๐ฟ๐
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๐Here you can find the newsletter ๐ฏ๐๐ฃ ๐ ๐ฎ๐ป๐ฎ๐ด๐ฒ๐บ๐ฒ๐ป๐ ๐ฃ๐๐น๐๐ฒ which reports every 14 days on the most important news worldwide in IP and IP management:
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๐The newsletter ๐ฏ๐๐ฃ ๐ ๐ฎ๐ป๐ฎ๐ด๐ฒ๐บ๐ฒ๐ป๐ ๐ฃ๐๐น๐๐ฒ also has an archive of all previous issues in which you can research topics, which you can find here:
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