This episode explains the concept of patent white spots as untapped areas within technological and market landscapes, representing significant opportunities for innovation and competitive advantage. It outlines the methodical process of identifying and characterising these white spots through comprehensive market segmentation, data collection, and gap analysis. Furthermore, it highlights how patent information serves as a crucial data source for this analysis, enabling the mapping of patent landscapes and sparking new research and development ideas. This episode presents the AI-tool patentbutler.ai, as best a practice solution for efficiently conducting patent searches and precisely characterising these underserved areas, ultimately guiding businesses toward robust IP positions and sustained growth.

Show Notes

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📌 Here you find the case study from the MIPLM-EPO master for IP law and management (MIPLM) which is discussed in this podcast episode: 👉 Link

📌 Here is the 📑IP management letter on the lecture of IP subject matter expert Dr. Hannes Burger at MIPLM on applying AI to characterise patent white spots
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📌 Here is the digital IP lexicon dIPlex page about AI-based patent searching tools IP subject matter expert Daniel Holzner: 👉 Link Page

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📌 🔗𝗱𝗜𝗣𝗹𝗲𝘅 is your digital IP lexicon. As a global IP knowledge hub, it helps you with all questions about IP and IP management. Browse through the topics or look for a specific answer and an expert for your questions. 👉 Link

📌 In the 🔎𝗜𝗣 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗚𝗹𝗼𝘀𝘀𝗮𝗿𝘆 you will find all the important terms of IP management explained in detail including audio summaries for each term: 👉 Link

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📌 Here you can find IP Subject Matter Expert Dr. Hannes Burger on LinkedIn: 👉 Link