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ナンバーワンソリューションズ 本社

EstablishmentJuly 9, 2002
capital5000Ten thousand
number of employees98
addressTokyo/Meguro-ku/7th Floor, Idemitsu Ikejiri Building, 3-15-1 Higashiyama
phone03-6412-8470
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last updated:Feb 05, 2025
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AI Knowledge Management Tool Microcosm AI Knowledge Management Tool Microcosm
生成AIエンタープライズサーチで解決できる5つの課題 生成AIエンタープライズサーチで解決できる5つの課題
Conversational Generative AI Platform "i.human" Conversational Generative AI Platform "i.human"
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生成AIエンタープライズサーチで解決できる5つの課題

生成AIエンタープライズサーチで解決できる5つの課題

【生成AIエンタープライズサーチで解決できる5つの課題】 現在の企業では、膨大な社内データの情報管理や検索に関して以下のような課題が存在します。 生成AIエンタープライズサーチは、これらの課題を解決するための新たなアプローチとして、 業務効率の向上と安全な情報管理を実現します。 ■膨大な情報収集時間の浪費:従業員が情報を探し出すために費やす時間が膨大で、業務効率が低下している。 ■検索結果の精度不足:従来のキーワード検索では、文脈や意図を正確に捉えられず、必要な情報が見逃されがち。 ■分散データソースの統合困難:社内情報が複数のシステムに分散しており、横断的な検索が難しい。 ■多言語情報管理の壁:グローバル企業では、異なる言語の資料が存在し、情報共有に言語の壁が生じる。 ■情報セキュリティとプライバシーの不安:情報漏洩や不正アクセスのリスクが高く、機密情報の管理に大きな懸念がある。 【機密情報を守りながら生成AIエンタープライズサーチを活用したい方へ】 ローカルAIアプリケーション『Microcosm(マイクロコズム)』

Five Challenges That Can Be Solved with Generative AI Enterprise Search

Introducing how local LLMs are utilized in various industries and the results companies are achieving, based on specific examples.

The document discusses "Five Challenges That Can Be Solved with Generative AI Enterprise Search." It introduces issues such as the enormous amount of time employees spend searching for information, which decreases operational efficiency, and the challenge of cross-system searches due to internal information being dispersed across multiple systems. Additionally, it explains the challenges faced when implementing local LLMs and their solutions. Please take a look. 【Contents】 ■ Introduction ■ Five Challenges That Can Be Solved with Generative AI Enterprise Search ■ For Those Who Want to Utilize Generative AI Enterprise Search While Protecting Confidential Information ■ Conclusion *For more details, please download the PDF or feel free to contact us.

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