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#25 AI and Patent Information
Featured content by Stefan Brehm: Details on the application of artificial intelligence (AI) to patent information retrieval.
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:
๐ Link
๐ Stefan Brehm has his own page on the digital IP lexicon ๐๐ฑ๐๐ฃ๐น๐ฒ๐ about AI-based patent analysis:
๐ Link
๐ Please note the current Call for Subject Matter Experts for the IP Business Academy
๐ Link
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
๐ Link
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:
๐ Link
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:
๐ Link
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By IPBAยฎ Connect | Turning IP expert knowledge into visible impactFeatured content by Stefan Brehm: Details on the application of artificial intelligence (AI) to patent information retrieval.
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:
๐ Link
๐ Stefan Brehm has his own page on the digital IP lexicon ๐๐ฑ๐๐ฃ๐น๐ฒ๐ about AI-based patent analysis:
๐ Link
๐ Please note the current Call for Subject Matter Experts for the IP Business Academy
๐ Link
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
๐ Link
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:
๐ Link
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:
๐ Link