これからのAI時代における企業競争力強化を目的として、2024年12月18日に「AI孔明」の製品発表会が『データと知財の融合で未来を創る!「AI孔明」製品発表会~AIネイティブ『AI孔明』を活用した企業競争力の新たな基盤~』と題して開催されました。
知財エコシステム セッション「AI時代の競争力を生む知財エコシステム」(Tokkyo.Ai株式会社取締役 COO 平井 智之氏)の部分を視聴しましたが、「AI孔明」という社内のクローズドデータにアクセスし要約や検索を効率化するLLMベースのツールと、「Tokkyo.Ai」の組合せで、新たな発明やビジネスモデルが生まれる可能性があり、アイデア創出・特許出願、事業戦略・知財戦略の立案などがさらに広がる可能性があると感じています。 AOSデータ社 データと知財の融合で未来を創る!「AI孔明」製品発表会の開催レポート https://webinarabc.jp/new-webinar/aikomei/ AI時代の競争力を生む知財エコシステム https://www.youtube.com/watch?v=XtRv35dxUWg 以下、平井氏講演をChatGPT-4oに要約してもらいました。 AI時代の競争力を生む知財エコシステム この講演では、AI技術を活用した知財エコシステムの構築と活用について、具体例を交えながら詳しく説明されています。以下は講演内容を本人の話し方や言い回しを活かしてまとめたものです。 1. 自己紹介と背景 講演者は特許AI株式会社の平井智之氏です。特許AI株式会社はリーガルテックの子会社として2021年に設立され、知財の大衆化を理念に掲げています。「知財をもっと身近にしよう」という思いから、AIツールやプラットフォームを開発し、効率的な知財管理・活用を支援しています。 平井氏は、法律系大学院を卒業後、リーガルテックに新卒入社し、法務や第三者委員会関連の業務を経験。その後、事業全体の開発やセールスを統括する立場に就きました。この経験を活かして、知財管理を根本から効率化しようという取り組みを進めています。 2. 知財エコシステムとAIの役割 知財エコシステムとは、知的財産の創出、保護、活用を通じてイノベーションや経済成長を促進する仕組みです。これまで企業は、アイデアを社会実装するためのサイクルを回してきましたが、ここにAI技術が加わったことで劇的な効率化が進んでいます。 特に2022年秋にChatGPTが登場して以降、AIを搭載した製品が次々と発表されました。AIを使って、経営者がアイデア出しをする、特許保護の戦略を考える、事業展開をシミュレーションするなど、AIは今や欠かせない存在になっています。 3. AI技術の進化:従来型AIとLLMの比較 AI技術は、従来型のルールベースAIから大規模言語モデル(LLM)へと進化しました。 LLMと従来型AIの違い
4. 実践的なAIツールの活用事例 ツールの機能:
5. AI孔明:社内データの活用と新しいアイデア創出 AI孔明とは? 社内のクローズドデータにアクセスし、要約や検索を効率化するLLMベースのツールです。 主な機能:
6. 特許マーケットプレイスと新たな収益モデル 特許マーケットプレイスの概要:
7. まとめと今後の展望 この講演では、AI技術を活用して知財エコシステムを効率化する可能性が強調されました。特にLLMやAI公明を活用することで、データ管理から発明の創出、権利化、収益化まで一貫した支援が可能になります。 平井氏は「AIなしでは生きていけない時代がすぐそこまで来ている」と述べ、AIが今後の知財管理の標準ツールになることを確信しています。 Intellectual Property Ecosystem Driving Competitiveness in the AI Era To enhance corporate competitiveness in the upcoming AI era, the product launch event for "AI Koumei" was held on December 18, 2024, under the theme: "Shaping the Future through the Integration of Data and Intellectual Property! 'AI Koumei' Product Launch Event—A New Foundation for Corporate Competitiveness Utilizing AI-Native 'AI Koumei'." I attended the Intellectual Property Ecosystem session, "Intellectual Property Ecosystem Driving Competitiveness in the AI Era," presented by Mr. Tomoyuki Hirai, COO of Tokkyo.Ai Inc. The combination of "AI Koumei," an LLM-based tool that enhances summarization and search efficiency by accessing closed internal data, and "Tokkyo.Ai" has the potential to generate new inventions and business models. This synergy could further expand possibilities in idea creation, patent applications, and the planning of business and intellectual property strategies. Summary of Mr. Hirai’s Lecture by ChatGPT-4o Intellectual Property Ecosystem Driving Competitiveness in the AI Era This lecture provides a detailed explanation of building and utilizing an intellectual property (IP) ecosystem powered by AI technologies, including specific examples. The following is a summary preserving Mr. Hirai’s speaking style and expressions. 1. Introduction and Background The speaker, Mr. Tomoyuki Hirai, is the COO of Tokkyo.Ai Inc. Tokkyo.Ai was established in 2021 as a subsidiary of a legal tech company, promoting the democratization of intellectual property with the vision of making IP more accessible. The company develops AI tools and platforms to support efficient IP management and utilization. Mr. Hirai graduated from a law-focused graduate school and joined a legal tech company as a new graduate, gaining experience in legal affairs and third-party committee work. Later, he took charge of overall business development and sales. Leveraging this experience, he has been driving initiatives to fundamentally streamline IP management. 2. The Role of AI in the IP Ecosystem An IP ecosystem facilitates innovation and economic growth through the creation, protection, and utilization of intellectual property. Companies have traditionally operated cycles to implement ideas in society, but integrating AI has dramatically improved efficiency. Since the emergence of ChatGPT in fall 2022, AI-powered products have rapidly entered the market. AI now plays an essential role in brainstorming ideas, formulating patent protection strategies, and simulating business developments. 3. Evolution of AI Technology: Traditional AI vs. LLMs AI technology has evolved from rule-based systems to large language models (LLMs). Differences between Traditional AI and LLMs: Data Scale: Traditional AI utilized thousands to millions of data points, whereas LLMs are trained on trillions. Flexibility: Traditional AI followed predefined rules, while LLMs adapt flexibly to context and instructions. Applications: LLMs support tasks such as patent searches, text generation, summarization, and analysis. Mr. Hirai compared traditional AI to a “feature phone” and LLMs to a “smartphone,” emphasizing their scalability. Just as smartphones can expand functionalities with apps, LLMs can flexibly handle a wide range of tasks. 4. Practical Use Cases of AI Tools Key Features of the Tools: Patent Document Creation: Generates drafts based on keywords like “metaverse” within a short time. Similar Patent Search: Instantly analyzes past patents and identifies trends. Competitive Analysis: Automatically evaluates company data and market trends. Implementation Benefits: Reduces document preparation and research time from 10 hours to less than 1 hour. Enables researchers and engineers to directly use tools for patent strategy formulation. Identifies similar technologies before filing patents to avoid redundant applications. By supporting tasks from drafting inventions to patent searches and commercialization, AI enables researchers to efficiently plan IP strategies. 5. AI Koumei: Leveraging Internal Data for Idea Generation What is AI Koumei? AI Koumei is an LLM-based tool designed to enhance summarization and search efficiency by accessing internal closed data. Main Features: Internal Document Analysis: Summarizes and organizes content within documents. Knowledge Sharing and Search: Manages data securely in the cloud. New Idea Proposals: Combines existing data and new technologies to create value. Mr. Hirai highlighted that “valuable information often remains hidden in internal data not available online.” AI Koumei maximizes the use of this data, supporting idea generation and business strategy development. 6. Patent Marketplaces and New Revenue Models Overview of Patent Marketplaces: Lists and trades patents and ideas. Uses AI analysis to streamline licensing and sales. Creates new inventions by combining existing and emerging technologies. Utilization of Blockchain Technology: Product Authenticity Verification: Uses QR codes for certification. Brand Management via NFT Technology. By incorporating AI analysis, the platform facilitates proposals for combinations in licensing and sales, expanding the possibilities for new inventions and business models. 7. Conclusion and Future Outlook The lecture emphasized the potential for AI technologies to enhance IP ecosystems efficiently. By leveraging tools like LLMs and AI Koumei, companies can receive comprehensive support—from data management and idea generation to patent protection and monetization. Mr. Hirai concluded by stating, “We are approaching an era where living without AI will be impossible,” expressing confidence that AI will soon become the standard tool for IP management.
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27/12/2024 20:34:12
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著者萬秀憲 アーカイブ
January 2025
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