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​よろず知財コンサルティングのブログ

「企図する因果パス」 森永乳業のケース

29/5/2025

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昨日の解説『「企図する因果パス」徹底解説:企業内研修への活用(Gemini Deep Research)』は、知財・無形資産ガバナンスガイドライン Ver.2.0(概要)12頁記載の「企図する因果パス」を生成AI (Gemini Deep Research)が徹底解説したものですが、これを基に、生成AIに森永乳業について「企図する因果パス」を作成させました。
添付は、Claude Opus 4に作成させた結果です。
議論する場合の「たたき台」としては良い水準に出来上がっているように思います。
 
 
“Intended Causal Path” : Morinaga Milk Case
Yesterday’s commentary, “A Thorough Explanation of the ‘Intended Causal Path’: Applications for In-House Training (Gemini Deep Research)”, provided a comprehensive, AI-generated analysis (via Gemini Deep Research) of the “Intended Causal Path” set out on page 12 of the Intellectual Property & Intangible Asset Governance Guidelines, Ver. 2.0 (Summary).
Building on that explanation, I asked a generative AI to create an “Intended Causal Path” specifically for Morinaga Milk.
The attachment contains the results produced by Claude Opus 4.
In my view, it is of a sufficiently high standard to serve as a solid starting point (“straw-man”) for further discussion.

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LexisNexis PatentSight+ Summit 2025

29/5/2025

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2025年5 月28 日行われたLexisNexis PatentSight+ Summit 2025は、内容の濃い素晴らしいサミットでした。
「未来を拓く知財戦略~戦略・人材・AIの新たな可能性~」として、味の素の知財戦略の進化、TDKのグローバル知財ガバナンス、知財ガバナンス境界の未来の知財人材育成について、さらに知財領域のAI活用についての島津製作所、京セラ、旭化成からの報告とパネルディスカッション、LexisNexis Patentsight のMarco Richter氏(Managing Director EMEA & South Asia, Director of IP Analytics and Strategy)の自前で最新技術の開発するサイクルに入った中国の技術力分析、AIを活用したPatentsightの実験、今年もLexisNexis Patentsightの時勢を捉えた企画力の素晴らしさに感心しました。
視聴申し込みが約1,500人あったというこのサミットの内容は、LexisNexis Patentsightから後日詳細が紹介されると期待しています。
 
個人的な感想としては、島津製作所と京セラの生成AI活用の実用化の進捗の先進性です。推論モデルの最新の生成AIを使用しており、しかも、知財部門が独自に契約して使っているということです。(全社の生成AIの使用予算の大半を知財部門が使ってしまったため)
最近は、生成AIを使用し始めた会社が多くなっていますが、与えられた生成AIのレベルが低すぎてあまり良い結果が得られず生成AIの活用にブレーキがかかっている会社が多くなっている中で、最新の生成AIを使いこなしている会社が良い結果を出しています。島津製作所、京セラは、日本企業の中でも知財領域での生成AI活用のトップグループと言えるようです。ぜひ、広く情報発信してもらいたいと思いました。
 
 
 
LexisNexis PatentSight+ Summit 2025
The LexisNexis PatentSight+ Summit 2025, held on 28 May 2025, was an exceptionally rich and rewarding event. Under the theme “Intellectual Property Strategies that Shape the Future—New Possibilities in Strategy, Talent, and AI,” the program explored:
the evolution of Ajinomoto’s IP strategy,
TDK’s approach to global IP governance,
the cultivation of future IP talent at the frontiers of IP governance, and reports and a panel discussion on AI applications in the IP field from Shimadzu, Kyocera, and Asahi Kasei.
It also featured an analysis by Marco Richter, Managing Director EMEA & South Asia and Director of IP Analytics and Strategy at LexisNexis PatentSight, on China’s technological capabilities as the country enters a self-driven cycle of cutting-edge innovation, as well as PatentSight’s own AI experiments. Once again, I was impressed by LexisNexis PatentSight’s outstanding ability to design a program perfectly attuned to the times.
I look forward to the detailed post-event materials that PatentSight is expected to release.
Personal impressions
What stood out most was the advanced, practical progress Shimadzu and Kyocera have made in applying generative AI. Both divisions are using state-of-the-art reasoning models under contracts negotiated independently by their IP departments (which consumed the bulk of their companies’ AI budgets).
While many companies have begun experimenting with generative AI, they often stall because the models provided are too limited to yield useful results. In contrast, companies that master leading-edge models are producing clear value, and Shimadzu and Kyocera appear to be among the front-runners in Japan’s IP arena. I hope they will share their insights more broadly.

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森永乳業の新中期経営計画で知財戦略はどう変わるか?

29/5/2025

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森永乳業は、2025年5月14日、中期経営計画2025-28を公表しました。
この新中期経営計画の内容とそれに対する投資家・業界関係者・メディア・アナリストからの評価をDeep Researchに調査させ、この新中期経営計画により森永乳業の知財戦略はどう変わるかをDeep Researchに予測させました。
Gemini(Google), ChatGPT(OpenAI), Perplexity, Felo AIによる調査結果を添付しています。公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。
 
2025年3月期 決算・中期経営計画説明スライド【説明文あり】
 
 
How will Morinaga Milk Industry’s IP strategy change under the new medium-term management plan?
 
Morinaga Milk Industry announced its Medium-Term Management Plan 2025-28 on May 14 2025.
I asked Deep Research to analyze the plan’s contents and the evaluations of it by investors, industry experts, the media, and analysts, and to forecast how the company’s intellectual-property strategy might change as a result.
The attached materials contain the research findings from Gemini (Google), ChatGPT (OpenAI), Perplexity, and Felo AI. Please note that this analysis is based solely on publicly available information, may not fully reflect actual circumstances, and could include inaccuracies. Keep this in mind when reviewing the materials.
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「企図する因果パス」徹底解説

28/5/2025

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『「企図する因果パス」徹底解説:企業内研修への活用』は、知財・無形資産ガバナンスガイドライン Ver.2.0(概要)12頁記載の「企図する因果パス」を生成AI(Gemini Deep Research)が徹底解説したものです。
下記は、Gemini Deep Researchの結果から、ウェブページ、インフォグラフィック、音声概要を生成させた結果です。
​
知財因果パス解説 SPA
https://g.co/gemini/share/99c94e4840a2
 
知財・無形資産が拓く未来市場「企図する因果パス」を武器に、企業価値創造の最前線へ インフォグラフィック
https://g.co/gemini/share/8aa5e83a6564
 
見えざる価値を「見える化」する羅針盤:企図する因果パス 音声概要(8分17秒)
https://g.co/gemini/share/fcaa79d7ff07
 
Gemini(Google), ChatGPT(OpenAI), Perplexity, Genspark, Felo AI, Manus, Claudeによる調査結果を添付しています。公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。
 
 
Comprehensive Explanation of the 'Intended Causal Path'
 
“Comprehensive Explanation of the ‘Intended Causal Path’: Understanding and Leveraging Page 12 of the Overview of the Intellectual Property and Intangible Asset Governance Guidelines Ver. 2.0 for In-House Training” is a detailed explanation by generative AI of the “Intended Causal Path” described on page 12 of the Overview of the Intellectual Property and Intangible Asset Governance Guidelines Ver. 2.0.
Below are the outputs generated using Gemini Deep Research, including a web page, an infographic, and an audio summary.
  • Causal Path Explanation SPA
    https://g.co/gemini/share/99c94e4840a2
  • Future Markets Opened by IP and Intangible Assets: Advancing Corporate Value Creation with the 'Intended Causal Path' as a Strategic Weapon – Infographic
    https://g.co/gemini/share/8aa5e83a6564
  • A Compass for Visualizing Invisible Value: The Intended Causal Path – Audio Summary (8 minutes 17 seconds)
    https://g.co/gemini/share/fcaa79d7ff07
I have also included analysis results from Gemini (Google), ChatGPT (OpenAI), Perplexity, Genspark, Felo AI, Manus, ​and Claude. Please note that the analysis is based solely on publicly available information and may not fully reflect actual conditions; it may also include inaccuracies. I appreciate your understanding in this regard.

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生成AIを活用したIPランドスケープの最新動向

27/5/2025

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生成AIを活用したIPランドスケープの最新動向を生成AIにまとめてもらいました。
Gemini(Google), ChatGPT(OpenAI), Perplexity, Genspark, Felo AI, Manusによる調査結果を添付しています。IPランドスケープの定義をしっかりしなかったために広く解釈されすぎている点はご容赦ください。また、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。
なお、下記は、Gemini Deep Researchの結果から、ウェブページ、インフォグラフィック、音声概要を生成させた結果です。
 
生成AIを活用したIPランドスケープの最新動向インタラクティブSPA
https://g.co/gemini/share/65949f7cc2fd
 
生成AIを活用したIPランドスケープの最新動向インフォグラフィック
https://g.co/gemini/share/660937309063
 
生成AIを活用したIPランドスケープの最新動向音声概要(7分50秒)
https://g.co/gemini/share/aafd13d3b80a
 
 
 
Latest Trends in IP Landscape Using Generative AI
 
I asked generative AI to summarize the latest trends in IP landscape utilizing generative AI.
The findings from Gemini (Google), ChatGPT (OpenAI), Perplexity, Genspark, Felo AI, and Manus are attached.
Please note that the definition of "IP landscape" was not clearly specified, which may have led to an overly broad interpretation. Additionally, this analysis is based solely on publicly available information and may not fully reflect actual circumstances. It may also contain inaccuracies, so please keep this in mind when reviewing the content.
Below are the outputs generated from Gemini Deep Research, including a web page, infographic, and audio summary:
  • Interactive SPA: Latest Trends in IP Landscape Using Generative AI
    https://g.co/gemini/share/65949f7cc2fd
  • Infographic: Latest Trends in IP Landscape Using Generative AI
    https://g.co/gemini/share/660937309063
  • Audio Summary (7 minutes 50 seconds): Latest Trends in IP Landscape Using Generative AI
    https://g.co/gemini/share/aafd13d3b80a
 


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生成AIを活用した特許分析の最新動向

26/5/2025

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生成AIを活用した特許分析の最新動向を生成AIにまとめてもらいました。
Gemini(Google), ChatGPT(OpenAI), Perplexity, Genspark, Felo AI, Manusによる調査結果を添付しています。公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。
なお、下記は、Gemini Deep Researchの結果から、ウェブページ、インフォグラフィック、音声概要を生成させた結果です。
 
生成AI特許分析の最新動向インタラクティブSPA
https://g.co/gemini/share/dbf9795513c9
 
生成AI特許分析の最新動向インフォグラフィック
https://g.co/gemini/share/cd89313f1741
 
生成AI特許分析の最新動向音声概要(7分50秒)
https://g.co/gemini/share/296ac9b0e52c
 
 
 
Latest Trends in Patent Analysis Using Generative AI
 
I asked generative AI to summarize the latest trends in patent analysis utilizing generative AI.
The attached results are based on investigations conducted by Gemini (Google), ChatGPT (OpenAI), Perplexity, Genspark, Felo AI, and Manus.
Please note that the analysis is based solely on publicly available information and may not accurately reflect actual circumstances; it may also contain inaccuracies.
The following are the outputs generated by Gemini Deep Research, including a webpage, infographic, and audio summary:
  • Interactive SPA on Latest Trends in Generative AI Patent Analysis
    https://g.co/gemini/share/dbf9795513c9
  • Infographic on Latest Trends in Generative AI Patent Analysis
    https://g.co/gemini/share/cd89313f1741
  • Audio Summary on Latest Trends in Generative AI Patent Analysis (7 minutes 50 seconds)
    https://g.co/gemini/share/296ac9b0e52c
 
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⽣成A I特許分析GPT s

25/5/2025

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⾓渕由英(つのぶちよしひで)⽒によって開発された「⽣成A I特許分析GPT s」は、ユーザーが分析したい技術内容を簡単な⽂章で⼊⼒するだけで、ウェブ情報と特許情報を段階的に調査‧分析し、包括的なレポートを⽣成するエージェント型のGPTです。このツールは、特許調査や技術動向分析の効率化を⽬的としており、具体的な技術テーマに対して、技術概要から特許情報、さらにはビジネス実装に関する詳細な調査結果までを提⽰します。
生成AI特許分析GPTsの使い方 2025年5月12日
https://note.com/tsunobuchi/n/n8420871afe23
この角渕由英氏開発「生成AI特許分析GPTs」に関して、生成AIにまとめてもらいましたGemini(Google), ChatGPT(OpenAI), Perplexity, Genspark, Felo AI, Manus, Claudeによる調査結果を添付しています。公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。
なお、下記は、Gemini Deep Researchの結果から、ウェブページ、インフォグラフィック、音声概要を生成させた結果です。
 
生成AI特許分析GPTs:インタラクティブ・レポート
https://g.co/gemini/share/137cd2de4667
 
生成AI特許分析インフォグラフィック
https://g.co/gemini/share/4dee2a9c26eb
 
生成AI特許分析GPTs:音声概要(6分45秒)
https://notebooklm.google.com/notebook/95b64076-3c56-4dd8-8c3e-a3e1a6b939a7/audio
 
 
 
Generative AI Patent Analysis GPTs
 
Developed by Yoshihide Tsunobuchi, Generative AI Patent Analysis GPTs is an agent-type GPT tool that generates comprehensive reports by sequentially investigating and analyzing web information and patent data. Users simply input the technical content they wish to analyze in plain language. This tool is designed to streamline patent research and technology trend analysis. For specific technical themes, it provides detailed investigation results ranging from technical overviews to patent information and even insights on business implementation.
How to Use Generative AI Patent Analysis GPTs – May 12, 2025
https://note.com/tsunobuchi/n/n8420871afe23
Regarding this tool developed by Mr. Yoshihide Tsunobuchi, we have attached summary results created using several generative AI tools—Gemini (Google), ChatGPT (OpenAI), Perplexity, Genspark, Felo AI, Manus, and Claude. Please note that the analysis is based solely on publicly available information and may not necessarily reflect the actual situation. It may also include inaccuracies, so please refer to it with that understanding.
Below are the outputs generated by Gemini Deep Research, including a web page, infographic, and audio summary:
  • Generative AI Patent Analysis GPTs: Interactive Report
    https://g.co/gemini/share/137cd2de4667
  • Generative AI Patent Analysis Infographic
    https://g.co/gemini/share/4dee2a9c26eb
  • Generative AI Patent Analysis GPTs: Audio Summary (6 minutes 45 seconds)
    https://notebooklm.google.com/notebook/95b64076-3c56-4dd8-8c3e-a3e1a6b939a7/audio
 
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TDKのグローバル知財ガバナンス 挑戦と課題

24/5/2025

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5月28日に開催予定の「LexisNexis PatentSight+ Summit 2025」(会場(満席)+Zoomのハイブリッド配信)では、TDKのグローバル知財ガバナンス「TDKのグローバル知財ガバナンス 挑戦と課題」の講演が行われます。
この講演内容について、生成AIに予測させました。Gemini(Google), ChatGPT(OpenAI), Perplexity, Genspark, Felo AI, Manus, そして、一昨日リリースされたばかりのClaude Opus 4による調査と予測の結果を添付しています。公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。
なお、下記は、Gemini Deep Researchの結果から、ウェブページ、インフォグラフィック、音声概要を生成させた結果です。
 
TDKグローバル知財戦略講演内容予測SPA
https://g.co/gemini/share/99bc38538fae
 
TDKグローバル知財戦略講演内容予測インフォグラフィック
https://g.co/gemini/share/aa7b367bd147
 
TDKグローバル知財戦略講演内容予測音声概要(8分12秒)
https://g.co/gemini/share/856ee92a7037
 
 
LexisNexis PatentSight+ Summit 2025
https://www.lexisnexisip.jp/patentsight-summit/
 
 
TDK's Global IP Governance: Challenges and Issues
 
At the upcoming LexisNexis PatentSight+ Summit 2025 on May 28, a presentation titled “TDK’s Global IP Governance: Challenges and Issues."
I used generative AI to predict the potential content of the presentation. The analysis and predictions were generated using Gemini (Google), ChatGPT (OpenAI), Perplexity, Genspark, Felo AI, Manus, and the newly released Claude Opus 4.
Please note that the analysis is based solely on publicly available information and may not necessarily reflect the actual content of the presentation. It may contain inaccuracies, so please keep this in mind when reviewing it.
The following are the results generated from Gemini Deep Research, including a webpage, an infographic, and an audio summary.
Predicted Content of the TDK Global Intellectual Property Strategy Lecture (SPA)
https://g.co/gemini/share/99bc38538fae
Predicted Infographic of the TDK Global Intellectual Property Strategy Lecture
https://g.co/gemini/share/aa7b367bd147
Predicted Audio Summary of the TDK Global Intellectual Property Strategy Lecture (8 minutes 12 seconds)
https://g.co/gemini/share/856ee92a7037
 

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アミノサイエンス®を核とした知財戦略の進化と価値創造

24/5/2025

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5月28日に開催予定の「LexisNexis PatentSight+ Summit 2025」(会場(満席)+Zoomのハイブリッド配信)では、味の素グループの知財戦略の進化「アミノサイエンス®を核とした知財戦略の進化と価値創造」の講演が行われます。
「アミノサイエンス®を核とした知財戦略の進化と価値創造」の講演内容について、生成AIに予測させました。Gemini(Google), ChatGPT(OpenAI), Perplexity, Genspark, Felo AI, Manus, そして、一昨日リリースされたばかりのClaude Opus 4による調査と予測の結果を添付しています。公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。
なお、下記は、Gemini Deep Researchの結果から、ウェブページ、インフォグラフィック、音声概要を生成させた結果です。
 
味の素 知財戦略 講演内容推測SPA
https://g.co/gemini/share/eb0987605193
 
味の素 知財戦略 講演内容推測インフォグラフィック
https://g.co/gemini/share/4b1166aa0276
 
味の素 知財戦略 講演内容推測音声概要(9分11秒)
https://g.co/gemini/share/c59227144330
 
 
 
Evolution of IP Strategy and Value Creation Centered on AminoScience®
 
At the upcoming "LexisNexis PatentSight+ Summit 2025" (scheduled for May 28, with a hybrid format of a fully booked in-person venue and Zoom streaming), Ajinomoto Group will deliver a presentation on the evolution of its intellectual property strategy, titled "Evolution of IP Strategy and Value Creation Centered on AminoScience®."
I asked generative AI models to predict the possible content of this presentation. The attached analysis and forecasts are based on investigations by Gemini (Google), ChatGPT (OpenAI), Perplexity, Genspark, Felo AI, Manus, and the newly released Claude Opus 4 (as of two days ago).
Please note that these predictions are based solely on publicly available information and may not accurately reflect the actual content. They may also contain inaccuracies. Please keep this in mind when reviewing the materials.
The following are the results generated based on the findings of Gemini Deep Research, including a webpage, infographic, and audio summary.
  • Ajinomoto Intellectual Property Strategy: Predicted Lecture Content (SPA)
    https://g.co/gemini/share/eb0987605193
  • Ajinomoto Intellectual Property Strategy: Predicted Lecture Content (Infographic)
    https://g.co/gemini/share/4b1166aa0276
  • Ajinomoto Intellectual Property Strategy: Predicted Lecture Content (Audio Summary – 9 minutes 11 seconds)
    https://g.co/gemini/share/c59227144330
 
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未来を拓く知財人財とは?― 次世代を育てる戦略と視点

24/5/2025

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5月28日に開催予定の「LexisNexis PatentSight+ Summit 2025」(会場(満席)+Zoomのハイブリッド配信)では、KDDI株式会社コーポレート統括本部 プロフェッショナルで、一般社団法人 知財・無形資産ガバナンス協会 副理事長の川名 弘志 氏から「未来を拓く知財人財とは?― 次世代を育てる戦略と視点」と題して、日本企業の持続的成長に向け、知財人財育成の必要性と実践的な方法論が解説されます。
この講演内容について、生成AIに予測させました。Gemini(Google), ChatGPT(OpenAI), Perplexity, Genspark, Felo AI, Manusによる調査と予測の結果を添付しています。公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。
 
なお、下記は、Gemini Deep Researchの結果から、ウェブページ、インフォグラフィック、音声概要を生成させた結果です。
 
川名弘志氏講演内容予測SPA
https://g.co/gemini/share/e9895a35d47c
 
川名弘志氏講演内容予測インフォグラフィック
https://g.co/gemini/share/458c61f6f781
 
川名弘志氏講演内容予測音声概要(7分54秒)
https://g.co/gemini/share/d07c86244ff2
 
 
What are intellectual property talents who pave the way for the future? Strategies and Perspectives for Nurturing the Next Generation.
 
At the upcoming LexisNexis PatentSight+ Summit 2025 on May 28, Mr. Hiroshi Kawana, a professional at KDDI Corporation’s Corporate Division and vice chairman of the Intellectual Property and Intangible Assets Governance Association, will deliver a presentation titled "What Are Intellectual Property Talents Who Pave the Way for the Future? —Strategies and Perspectives for Nurturing the Next Generation."
The session will explain why nurturing IP professionals is necessary and present practical methodologies for fostering such talent to promote the sustainable growth of Japanese enterprises.
I used generative AI to predict the possible content of this presentation. The analysis and predictions were generated using Gemini (Google), ChatGPT (OpenAI), Perplexity, Genspark, Felo AI, Manus, and the newly released Claude Opus 4.
Please note that these predictions are based solely on publicly available information and may not reflect the actual presentation. There may be inaccuracies in the analysis, so I recommend reviewing the materials with that understanding.
The following are outputs generated from the results of Gemini Deep Research, including a web page, infographic, and audio summary of the predicted content of Mr. Hiroshi Kawana's presentation.
 
Predicted Presentation Summary (SPA) by Mr. Hiroshi Kawana
https://g.co/gemini/share/e9895a35d47c
 
Predicted Presentation Infographic by Mr. Hiroshi Kawana
https://g.co/gemini/share/458c61f6f781
 
Predicted Presentation Audio Summary by Mr. Hiroshi Kawana
https://g.co/gemini/share/d07c86244ff2

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京セラの知的財産部門における生成AIの活用

23/5/2025

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5月28日に開催予定の「LexisNexis PatentSight+ Summit 2025」(会場(満席)+Zoomのハイブリッド配信)のパネルディスカッション 「知財領域におけるAIの活用」では、京セラ、島津製作所、旭化成から、急速に進んでいる知財調査や分析、IPランドスケープの実行におけるAI活用の現状や具体的な可能性と課題が報告され、議論されるとのことです。
パネリストとなっている会社の中から、京セラの知財部門における生成AIの活用について、Deep Researchしてみました。Gemini(google), ChatGPT(OpenAI), Perplexity, Genspark, Felo AI, Manus, そして、Deep Researchではありませんが昨日リリースされたばかりのClaude Opus 4による調査結果です。公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。
 
 
Utilization of Generative AI in the Intellectual Property Department of Kyocera Corporation
 
At the upcoming “LexisNexis PatentSight+ Summit 2025,” scheduled for May 28 (a hybrid event with a fully booked venue and Zoom streaming), a panel discussion titled “AI Utilization in the Field of Intellectual Property” will be held. Representatives from Kyocera, Shimadzu Corporation, and Asahi Kasei will report and discuss the current state, specific possibilities, and challenges of AI utilization in the rapidly advancing fields of IP research, analysis, and IP landscape execution.
Among the panelist companies, I conducted Deep Research on the use of generative AI within Kyocera’s intellectual property department. The investigation utilized tools such as Gemini (Google), ChatGPT (OpenAI), Perplexity, Genspark, Felo AI, and Manus, along with Claude Opus 4, which was just released yesterday (though not part of Deep Research).
Please note that this analysis is based solely on publicly available information and may not accurately reflect the actual situation. It may also include inaccuracies, so I ask that you refer to it with this in mind.
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島津製作所の知的財産部門における生成AIの活用

23/5/2025

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5月28日に開催予定の「LexisNexis PatentSight+ Summit 2025」(会場(満席)+Zoomのハイブリッド配信)のパネルディスカッション 「知財領域におけるAIの活用」では、京セラ、島津製作所、旭化成から、急速に進んでいる知財調査や分析、IPランドスケープの実行におけるAI活用の現状や具体的な可能性と課題が報告され、議論されるとのことです。
パネリストとなっている会社の中から、島津製作所の知財部門における生成AIの活用について、Deep Researchしてみました。Gemini(google), ChatGPT(OpenAI), Perplexity, Genspark, Felo AI, Manus, そして、Deep Researchではありませんが昨日リリースされたばかりのClaude Opus 4による調査結果です。公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。
 
 
Utilization of Generative AI in the Intellectual Property Department of Shimadzu Corporation
 
At the upcoming “LexisNexis PatentSight+ Summit 2025” scheduled for May 28 (a hybrid event with a fully booked venue and Zoom streaming), a panel discussion titled “AI Utilization in the Field of Intellectual Property” will be held. Representatives from Kyocera, Shimadzu Corporation, and Asahi Kasei will present and discuss the current state, specific possibilities, and challenges of AI utilization in rapidly evolving IP research, analysis, and IP landscape implementation.
Among the participating companies, I conducted Deep Research into the use of generative AI in Shimadzu Corporation’s IP department. This research includes insights from Gemini (Google), ChatGPT (OpenAI), Perplexity, Genspark, Felo AI, Manus, and—although not part of Deep Research—Claude Opus 4, which was just released yesterday.
Please note that this analysis is based solely on publicly available information and may not accurately reflect the actual situation. It may also contain inaccuracies. Please refer to it with this in mind.

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旭化成の知的財産部門における生成AIの活用

23/5/2025

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5月28日に開催予定の「LexisNexis PatentSight+ Summit 2025」(会場(満席)+Zoomのハイブリッド配信)では、味の素グループの知財戦略の進化「アミノサイエンス®を核とした知財戦略の進化と価値創造」、TDKのグローバル知財ガバナンス「TDKのグローバル知財ガバナンス 挑戦と課題」、一般社団法人 知財・無形資産ガバナンス協会・KDDIの未来の知財人材育成「未来を拓く知財人財とは?― 次世代を育てる戦略と視点」の講演とともに、パネルディスカッション 「知財領域におけるAIの活用」が行われます。
毎年行われてきた「LexisNexis PatentSight+ Summit」ですが、今年も、知財戦略の最新動向を捉え、次代のビジョンを描く機会として、期待が膨らみます。
 
LexisNexis PatentSight+ Summit 2025
https://www.lexisnexisip.jp/patentsight-summit/
 
パネルディスカッション 「知財領域におけるAIの活用」では、京セラ、島津製作所、旭化成から、急速に進んでいる知財調査や分析、IPランドスケープの実行におけるAI活用の現状や具体的な可能性と課題が報告され、議論されるとのことです。
パネリストとなっている会社の中から、旭化成の知財部門における生成AIの活用について、Deep Researchしてみました。Gemini(google), ChatGPT(OpenAI), Perplexity, Genspark, Felo AI, Manus, そして、Deep Researchではありませんが昨日リリースされたばかりのClaude Opus 4による調査結果です。公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。
 
 
Utilization of Generative AI in Asahi Kasei's Intellectual Property Division
 
At the upcoming LexisNexis PatentSight+ Summit 2025 scheduled for May 28 (hybrid format: in-person [fully booked] + Zoom livestream), several key presentations will be delivered. These include:
  • The evolution of Ajinomoto Group's IP strategy: "The Evolution of IP Strategy Centered on AminoScience® and Value Creation"
  • TDK's global IP governance: "TDK’s Global IP Governance: Challenges and Opportunities"
  • Intellectual Property and Intangible Assets Governance Association on fostering future IP talent: "What Defines the Next-Generation IP Professionals? — Strategies and Perspectives for Developing Future Talent"
In addition to these, a panel discussion titled "The Use of AI in the IP Domain" will be held.
The LexisNexis PatentSight+ Summit has been held annually, and this year again, it is anticipated to be a valuable opportunity to capture the latest trends in IP strategy and envision future directions.
LexisNexis PatentSight+ Summit 2025
https://www.lexisnexisip.jp/patentsight-summit/
In the panel discussion "The Use of AI in the IP Domain," panelists from Kyocera, Shimadzu Corporation, and Asahi Kasei will report and discuss the current status, potential, and challenges of rapidly evolving AI applications in IP research, analysis, and IP landscape execution.
As one of the panelist companies, I conducted Deep Research into the use of generative AI within the Intellectual Property Division of Asahi Kasei. This research leveraged tools such as Gemini (Google), ChatGPT (OpenAI), Perplexity, Genspark, Felo AI, Manus, and the newly released Claude Opus 4 (as of yesterday, not part of Deep Research per se).
Please note that this analysis is based solely on publicly available information and may not fully reflect the actual situation. It may also contain inaccuracies. Please keep this in mind as you refer to the findings.
 

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京都大学のGoogleテナントでの生成AI活用に向けた取り組み

22/5/2025

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【第88回】 大学等におけるオンライン教育とデジタル変革に関するサイバーシンポジウム「教育機関DXシンポ」(5/15 オンライン開催)で発表された京都大学の事例「京都大学のGoogleテナントでの生成AI活用に向けた取り組み」は参考になります。
京都大学では、Gemini への入力が学習に利用されないことが明記されたため、2024年10月からGeminiを全教職員(約13,000名)に提供開始、Gemini利用促進のためのコンテンツ作成についても紹介。
Geminiの具体的な使い方の例として、研究報告書の作成、学生向け通知文䛾作成、会議䛾議事録整理、データ整理・分析などを説明。
Gemini:Deep Researchのユースケース、NotebookLMのユースケースも説明しています。
 
 
「京都大学のGoogleテナントでの生成AI活用に向けた取り組み」古村 隆明 京都大学 情報環境機構
https://www.youtube.com/watch?v=i5x-x7EPJ4w
京都大学のGoogleテナントでの生成AI活用に向けた取り組み 資料
https://www.nii.ac.jp/event/upload/20250515-2_komura.pdf
Geminiアプリ利活用方法
https://drive.google.com/file/d/1Fg7lC8SOkSi2U_mSFo5bY-8n4G3N3WEs/view
 
NotebookLM音声概要(7分18秒)
https://notebooklm.google.com/notebook/c40d0cbb-05a4-4fc2-8aa2-474a5e110edf/audio
 
 
 
Kyoto University's Initiatives for the Utilization of Generative AI
 
The case study titled "Kyoto University's Initiatives for the Utilization of Generative AI within its Google Workspace Tenant", presented at the 88th Cyber Symposium on Online Education and Digital Transformation in Higher Education Institutions (Education Institution DX Symposium, held online on May 15), offers valuable insights.
At Kyoto University, it was explicitly stated that inputs to Gemini would not be used for training purposes. Based on this assurance, the university plans to begin providing Gemini to all faculty and staff (approximately 13,000 members) starting in October 2024. The presentation also introduced content developed to promote the use of Gemini.
Examples of specific use cases for Gemini included:
  • Creating research reports
  • Drafting student notification letters
  • Summarizing meeting minutes
  • Organizing and analyzing data
In addition, use cases for Gemini: Deep Research and NotebookLM were also introduced.

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ニチレイの新中期経営計画で知財戦略はどう変わるか?

22/5/2025

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株式会社ニチレイは、2025 年度から 2027 年度までの3年間を対象とするグループ中期経営計画「Compass×Growth 2027」を発表しました。この中期経営計画「Compass×Growth 2027」の内容とそれに対する投資家・業界関係者・メディア・アナリストからの評価をDeep Researchに調査させ、この新中期経営計画により、株式会社ニチレイの知財戦略はどう変わるかをDeep Researchに予測させました。ご参考まで。
 
ニチレイグループ中期経営計画「Compass×Growth 2027」について
https://www.nichirei.co.jp/ir/news/2025/t_in199.html
 
NotebookLM音声概要(9分06秒)
https://notebooklm.google.com/notebook/306bb3c9-0f92-42db-b90b-421c1844d737/audio
 
 
How Will Nichirei’s Intellectual Property Strategy Evolve Under Its New Medium-Term Management Plan?
Nichirei Corporation has unveiled its new group medium-term management plan, Compass×Growth 2027, which outlines the company’s strategic direction for the three years from fiscal 2025 to fiscal 2027.
To better understand the implications of this plan, I commissioned Deep Research to analyze its content and assess reactions from investors, industry professionals, media, and analysts.
Based on these insights, Deep Research also provided a forecast of how Nichirei’s intellectual property strategy is expected to evolve under the new plan.
I hope you find this informative.
 

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Google DeepMindの「AlphaEvolve」

21/5/2025

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Googleが2025年5月14日に発表した「AlphaEvolve」は、Google DeepMindによって開発されたGeminiを搭載した進化的コーディングエージェントです。
このAlphaEvolveの登場は、AIが単に既存の知識を再現するだけでなく、全く新しい科学的発見やアルゴリズムを生み出せることを実証した重要な転換点として注目されています。
レベル4「イノベーター(新しい発明やアイデアを創出する能力を持つAI)」の段階が見えてきているのかもしれません。
 
 
NotebookLM音声概要(6分48秒)
https://notebooklm.google.com/notebook/5abdff57-3dbe-4c5f-83ca-0bcdd739b468/audio
 
 
 
Google DeepMind's "AlphaEvolve"
 
Announced by Google on May 14, 2025, "AlphaEvolve" is an evolutionary coding agent developed by Google DeepMind and powered by Gemini.
The emergence of AlphaEvolve is drawing attention as a pivotal breakthrough that demonstrates AI’s ability not only to reproduce existing knowledge, but also to generate entirely new scientific discoveries and algorithms.
It may be an early sign that we are approaching Level 4: Innovators—AI systems capable of creating novel inventions and ideas.

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持田製薬の新中期経営計画で知財戦略はどう変わるか?

21/5/2025

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持田製薬が2025 年5月13日発表した中期経営計画「25-27中計」の内容とそれに対する投資家・業界関係者・メディア・アナリストからの評価をDeep Researchに調査させ、この新中期経営計画により、持田製薬の知財戦略はどう変わるかをDeep Researchに予測させました。ご参考まで。
 
持田製薬グループ「25-27 中期経営計画」について
https://finance-frontend-pc-dist.west.edge.storage-yahoo.jp/disclosure/20250512/20250512540704.pdf
 
NotebookLM音声概要(6分28秒)
https://notebooklm.google.com/notebook/66271c85-a888-4e6c-8882-c87cdcc406e8/audio
 
 
How Will Mochida Pharmaceutical's Intellectual Property Strategy Change Under Its New Medium-Term Management Plan?
 
I asked Deep Research to examine the content of Mochida Pharmaceutical’s newly announced medium-term management plan "25–27 Plan," released on May 13, 2025, as well as the evaluations from investors, industry professionals, media, and analysts. Based on this, Deep Research provided forecasts on how Mochida Pharmaceutical’s intellectual property strategy is expected to change under the new plan. For your reference.

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明電舎の新中期経営計画で知財戦略はどう変わるか?

20/5/2025

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明電舎が2025 年5月13日発表した中期経営計画2027の内容とそれに対する投資家・業界関係者・メディア・アナリストからの評価をDeep Researchに調査させ、この新中期経営計画により、明電舎の知財戦略はどう変わるかをDeep Researchに予測させました。ご参考まで。
 
中期経営計画2027
https://www.meidensha.co.jp/news/news_03/news_03_01/__icsFiles/afieldfile/2025/05/13/norenmidppt_1.pdf
 
NotebookLM音声概要(6分28秒)
https://notebooklm.google.com/notebook/f6207213-a44c-4bec-837f-f1450ba4fc49/audio
 
 
How Will Meidensha’s Intellectual Property Strategy Change Under Its New Medium-Term Management Plan?
 
I asked Deep Research to investigate the contents of Meidensha’s Medium-Term Management Plan 2027, announced on May 13, 2025, as well as the evaluations from investors, industry experts, media, and analysts. Based on this analysis, Deep Research also forecasted how Meidensha’s intellectual property strategy is likely to change under this new plan. For your reference.
 

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人工知能の発展におけるLLM層とアプリケーション層の役割

19/5/2025

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OpenAIが示した人工知能の発展の5つのレベルについて、LLM(大規模言語モデル)層とアプリケーション層の果たす役割を含めて、Deep Researcchに詳細に説明してもらいました。さらに、レベル3(AI Agent)段階とされている「Genspark」、「Manus」、「OpenAIのOperator」、OpenAIのDeep Research」におけるLLM層とアプリケーション層の役割を説明してもらいました。
ご参考まで。
『OpenAIは、人工知能が人間の能力を超える「汎用人工知能(AGI)」に到達するまでの道筋を示すものとして人工知能の発展を5つのレベルに分類し、その進捗を追跡するシステムを開発しました。
レベル1:チャットボット(Chatbots)
最初のレベルは、現在広く使われている会話型AI、つまりチャットボットです。これらのAIは基本的な対話や情報提供を行う能力があります。例えば、カスタマーサポートのチャットボットがこれに該当します。
レベル2:推論者(Reasoners)
レベル2は「推論者」と呼ばれ、人間レベルの問題解決能力を持つAIを指します。例えば、博士号を持つ人間と同等の問題解決タスクをツールなしでこなすことができるAIです。
レベル3:エージェント(Agents)
レベル3の「エージェント」は、ユーザーのために数日間行動を起こすことができるシステムです。これにより、特定のタスクを自律的に遂行することが可能となります。
レベル4:イノベーター(Innovators)
次に、レベル4の「イノベーター」は、新しい発明やアイデアを創出する能力を持つAIです。研究開発やクリエイティブなプロジェクトでの応用が期待されます。
レベル5:組織(Organizations)
最も高度なレベル5は「組織」で、これはAIが組織全体の仕事を行うことができる能力を持つことを意味します。企業の運営や管理業務を自動化し、全体的な効率を大幅に向上させることが可能です。』
 
 
 
The Roles of the LLM Layer and the Application Layer in the Development of Artificial Intelligence
 
I asked Deep Research to provide a detailed explanation of the roles played by the LLM (Large Language Model) layer and the application layer in the five levels of AI development as proposed by OpenAI. Additionally, we asked for an explanation of the roles of the LLM and application layers in Level 3 (AI Agent) systems such as "Genspark," "Manus," "OpenAI's Operator," and "OpenAI's Deep Research."
For your reference:
 
OpenAI has classified the development of artificial intelligence into five levels, which represent the pathway toward achieving Artificial General Intelligence (AGI)—AI that surpasses human capabilities. OpenAI has also developed a system to track progress through these levels.
Level 1: Chatbots
The first level consists of conversational AI widely used today—chatbots. These AI systems can conduct basic conversations and provide information. Customer support chatbots fall into this category.
Level 2: Reasoners
Level 2 is referred to as "Reasoners," describing AI capable of human-level problem-solving. These AIs can handle problem-solving tasks equivalent to those of a PhD holder without using external tools.
Level 3: Agents
Level 3 systems, known as "Agents," can take actions on behalf of users over the course of several days. These systems are capable of autonomously executing specific tasks.
Level 4: Innovators
At Level 4, "Innovators" are AI systems that possess the ability to create new inventions or ideas. They are expected to be applied in research and development or creative projects.
Level 5: Organizations
The highest level, Level 5, is termed "Organizations." These are AI systems that can perform the functions of entire organizations, automating business operations and management tasks to significantly enhance overall efficiency.

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アキレスの新中期経営計画で知財戦略はどう変わるか?

19/5/2025

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アキレスが2025 年5月12日発表した『中期経営計画 -FY25~FY27-』の内容とそれに対する投資家・業界関係者・メディア・アナリストからの評価をDeep Researchに調査させ、この新中期経営計画によりアキレスの知財戦略はどう変わるかをDeep Researchに予測させました。ご参考まで。
 
中期経営計画
https://www.achilles.jp/ir/library/midterm-plan/
 
NotebookLM音声概要(7分36秒)
https://notebooklm.google.com/notebook/def3048a-ab1f-498b-a1af-f117f08617b5/audio
 
 
How Will Achilles' Intellectual Property Strategy Change Under Its New Mid-Term Management Plan?
 
I asked Deep Research to analyze the contents of the new mid-term management plan "FY25–FY27," announced by Achilles Corporation on May 12, 2025, as well as the evaluations from investors, industry experts, media, and analysts. Based on this, Deep Research has provided forecasts on how Achilles’ intellectual property strategy will evolve under this new plan. For your reference.

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