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Intelligence、AI搭載の企業向けデータエージェントの日本展開を開始"],":type":"snowflake-site/components/title-v2"},"subheadline":{"id":"subheadline","text":"\u003Cp\u003E自然言語での対話により、全社レベルでのデータ活用とAI導入を促進\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text"},"position":"left",":type":"snowflake-site/components/hero-system"},"container_copy":{"columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-fb6d3ea06d","layout":"RESPONSIVE_GRID","columnCount":12,":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{"container":{"columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-bb34099483","layout":"RESPONSIVE_GRID","columnCount":12,":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-container snowflake-responsive-container-inner-padding-small",":items":{"flexible_column_cont":{"id":"flexible-column-container-27f91eeb26","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"extra-small","bottomPadding":"medium","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"press-body","backgroundImageOption":"none","flexible_column_content_container_1":{"id":"container-1fbb405665","layout":"SIMPLE",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium",":items":{"image":{"id":"image-0c1e4800cb","alt":"Snowflake og-social","lazyEnabled":true,"src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--c2053121-7136-4ad1-95b1-f48d57e50607/snowflake-intelligence.gif?quality=85&preferwebp=true","width":"2516","height":"1080",":type":"snowflake-site/components/image"},"text_copy":{"id":"text-da9e066b9b","additionalClasses":"list--blue-bullets main-pr-body","text":"\u003Cp\u003E2025年12月9日（日本時間）：AIデータクラウドを提供するSnowflake合同会社（所在地：東京都中央区、社長執行役員：浮田 竜路）は、\u003Ca href=\"https://www.snowflake.com/ja/blog/snowflake-intelligence-enterprise-ai/\"\u003ESnowflake Intelligence\u003C/a\u003Eを日本の企業向けに本格展開を開始したことを発表しました。\u003C/p\u003E\r\n\u003Cp\u003ESnowflake Intelligenceは、企業内のあらゆるデータに対して自然言語で質問できる企業向けインテリジェンスエージェントです。従業員が複雑な質問を自然言語で投げかけるだけで、インサイトを即座に引き出して活用できるようにします。Snowflake Intelligenceは、ひとつの質問からディープリサーチを行うことで、これまでは対応が難しく時間を要していた事業課題への解決策をすばやく提示することができます。これにより、その問題が「何」なのかだけでなく、その問題が「なぜ」生じているのかという重要な要素をより深く把握できるようになります。過去3か月間だけでも、世界中で1,000以上のSnowflakeの顧客がSnowflake Intelligenceを活用し、15,000を超えるAIエージェントを自社内に構築・展開しており¹、この数は継続的に拡大し続けています。またSnowflakeは、世界中の企業が自社データへのアクセスをさらに民主化できるよう支援するため、AIエージェントを簡単に大規模展開し、AIの投資効果を実際に実現させる数々の新機能を発表しました。\u003Cbr\u003E\r\n\u003Cbr\u003E\r\nSnowflake プロダクト担当上席副社長のChristian Kleinermanは次のように述べています。\u003C/p\u003E\r\n\u003Cp\u003E「Snowflakeは10年以上にわたり、世界中の企業のデータ戦略を支える基盤であり続けてきました。当社の次なる進化は、こうしたデータにAIを展開することであり、各顧客が自社独自のインテリジェンスを活用できるようにすることです。Snowflake Intelligenceはこれを実現するものであり、AIの力を民主化することで、社員一人ひとりがよりスマートかつ迅速に意思決定を行えるようになり、顧客のイノベーションの在り方を今後何年にもわたり根本から変革していくと確信しています」\u003C/p\u003E\r\n\u003Cp\u003E日本国内においても、Snowflake Intelligenceのパブリックプレビュー版を通じて、AIエージェントを活用した業務変革に取り組む企業が増えており、データとAIを活用した競争力強化の成果を実感されるケースが広がっています。こうした国内企業の状況を踏まえ、Snowflake合同会社 社長執行役員の浮田竜路は次のように述べています。\u003C/p\u003E\r\n\u003Cp\u003E「日本企業では今、データとAIの活用が競争力強化の鍵となっています。Snowflake Intelligenceは、自然言語での質問だけでデータの検索・分析やチャート作成まで行える革新的なプラットフォームであり、構造化データと非構造化データを直感的に扱える環境を実現します。Snowflakeは長年、厳格なデータガバナンスのもと日本企業のデータ基盤を支援してきました。今回の一般提供開始により、企業規模を問わずAIを活用した意思決定と業務変革をさらに加速し、より速く賢いビジネス創出を後押ししてまいります」\u003C/p\u003E\r\n\u003Cp\u003ESnowflake Intelligence : ナレッジのすべてを統合する、信頼できる唯一のエンタープライズエージェント\u003C/p\u003E\r\n\u003Cp\u003E「自社の売上の傾向は？」など重要な事業課題に対する答えにたどり着くのは常に時間がかかり困難なものでした。データが様々な業務システムや複数のスプレッドシート、Eメール、静的なダッシュボードに散在しているためです。Snowflake Intelligenceはこのような難解さを解消します。組織がデータを活用し、理解し、施策を講じる方法を再定義します。データ部門に複雑なコードを記述してもらわなくても、すべての社員がひとつの場所から安全に社内のあらゆるデータと対話できるようになります。これにより、憶測による判断が減り、データによる新たな文化が全社的に醸成されます。Cisco、Fanatics、Toyota Motor Europe、TS Imagine、米国ボブスレー／スケルトンチーム、Wolfspeedといった世界の組織が、人間の専門性とSnowflake Intelligenceの力を結集させ、組織内全体で業務を大きく変革しています。\u003C/p\u003E\r\n\u003Cp\u003ESnowflake Intelligenceは構造化テーブルや非構造化文書から、ゼロコピー経由でのSalesforce Data 360といったサードパーティーのアプリのデータまで、あらゆるエンタープライズデータソースを統合します。信頼性と拡張性を追求して構築された本ソリューションは、信頼性、ガバナンス、セキュリティを最優先にエンタープライズ対応を実現しています。従業員が自然言語で安心してデータにアクセスし分析できると同時に、機密情報の機密性を確実に保持します。Anthropicのような業界主力プロバイダーのAIモデルで駆動するSnowflake Intelligenceは、日々複雑なクエリを会話形式のインサイトに変換しており、データやAIへのアクセスを社内全体で民主化しています。\u003C/p\u003E\r\n\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/en/product/ai/ai-research/\"\u003ESnowflakeのAI研究チーム\u003C/a\u003E による新たな技術革新により、Snowflake IntelligenceはテキストからSQLへのクエリ処理を\u003Ca href=\"https://www.snowflake.com/en/engineering-blog/real-time-text-to-sql-snowflake-intelligence/\"\u003E最大3倍高速化\u003C/a\u003Eし、信頼性の高い精度を維持したままリアルタイムの回答を提供します。また同チームは、回答の信頼性と正確度を向上させるため、Agent GPA（Goal、Plan、Action）フレームワークという新たな評価手法を開発しました。標準データセットでのテストでは\u003Ca href=\"https://www.snowflake.com/en/engineering-blog/ai-agent-evaluation-gpa-framework/\"\u003E最大95%の誤りを検出\u003C/a\u003Eしており、人間並みの検出精度を達成しています。\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003ESnowflake、カスタムデータエージェント展開に柔軟性と選択肢を提供\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003EAIアプリやエージェントを大規模に展開するためには、企業が実際の環境において価値やインパクトを創出できるソリューションを構築するための選択肢と柔軟性が求められます。Snowflakeの新たなAIイノベーションは、組織がまさにそれを実現するための中核的要素となります。\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003Eカスタマイズされたマルチエージェントソリューションの構築：\u003C/b\u003E\u003Cbr\u003E\r\n\u003Ca href=\"https://docs.snowflake.com/ja/user-guide/snowflake-cortex/cortex-agents\"\u003ECortex Agents\u003C/a\u003E（一般提供開始）により、開発者は、タスクを計画し、ツールを使用し、構造化データと非構造化データの両方から回答を生成するデータエージェントを構築することができます。また、Snowflakeのマネージド\u003Ca href=\"https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents-mcp\"\u003EMCP（Model Context Protocol）サーバー\u003C/a\u003E（一般提供開始）は、AnthropicやCursor、Salesforce’s Agentforceなどの外部のAIエージェントをつなぐ標準化された安全な接続手段となり、カスタム統合の手間を排を排除し、社内のアプリケーションアーキテクチャを簡素化します。\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003ESnowflake内のエージェントの知識と相互運用性を拡張：\u003C/b\u003E\u003Cbr\u003E\r\n\u003Ca href=\"https://quickstarts.snowflake.com/guide/get-started-snowflake-cortex-knowledge-extensions/index.html#0\"\u003ECortex Knowledge Extensions\u003C/a\u003Eおよび\u003Ca href=\"https://docs.snowflake.com/ja/user-guide/views-semantic/overview\"\u003Eセマンティックビューの共有\u003C/a\u003E（一般提供開始）を利用することで、FactSet、IPinfo、MSCIといったプロバイダーのエコシステムの信頼できるデータを活用してAIエージェントを強化することができます。\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003ESnowflake Inteligenceのさらなる詳細につきましては、2025年12月11日、12日開催の\u003Ca href=\"https://www.snowflake.com/build-japan-online/\"\u003Eオンラインカンファレンス"BUILD"\u003C/a\u003Eにて紹介予定です。\u003C/p\u003E\r\n\u003Cp\u003Eこの他にも、様々な業界の企業がSnowflake Intelligenceの導入を進めており、業務効率化とデータドリブンな意思決定の実現に向けた取り組みを加速させています。その代表的な事例として、以下の企業からもコメントをいただいています。\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E日清食品ホールディングス株式会社\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003E執行役員・CIO（グループ情報責任者）成田 敏博 氏\u003C/p\u003E\r\n\u003Cp\u003E「Snowflake Intelligenceは、当社が目指す”データドリブン経営”と”AI活用”を支える重要なサービスです。構造化・非構造化データを横断的に扱える機能により、意思決定のスピードと精度が着実に向上しています。今後もSnowflake Intelligenceを活用し、全社的なデータ活用とAIエージェントによる業務変革を推進していきます」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E株式会社NTTドコモ \u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003ER&Dイノベーション本部 サービスイノベーション部 ビッグデータ基盤担当 担当部長 石井 啓之 氏\u003C/p\u003E\r\n\u003Cp\u003E「NTTドコモでは、モバイル5Gネットワークの拡大とともに増え続ける膨大なデータの活用が重要な課題となっています。Snowflake Intelligenceの自然言語インターフェースにより、技術者以外の社員も直感的にデータ分析を実行でき、迅速な意思決定が可能になりました。強固なセキュリティガバナンスのもと、全社的なデータ活用文化の醸成と競争力強化を実現できると確信しています」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E住友電気工業株式会社\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003E情報システム部 情報技術部　部長 三浦 隆雅 氏\u003C/p\u003E\r\n\u003Cp\u003E「今後の業務はAIエージェントが中心となる時代に向かいつつあると感じています。その実現には、企業内の多様なデータをAIエージェントがシームレスに活用できる環境が不可欠です。Snowflake Intelligenceのパブリックプレビューを通じて、AIエージェントの構築や活用が非常に容易になり、当社に存在する大量の製造データのより一層の活用に大きな可能性を感じました」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E株式会社ジンズ \u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003Eアイウエア事業開発本部 AI&データサイエンス部 部長 川嶋三香子氏\u003C/p\u003E\r\n\u003Cp\u003E「弊社の課題は、複数データを組み合わせる分析業務の煩雑さ、そして参照元データが複数存在することで部署間のデータ認識に差異が生じていた点にありました。この課題を解決し、業務効率を向上させるため、データ基盤を整備した上で、Snowflake Intelligenceの導入を決定。私たちは、組織全体がデータ分析・収集の作業から解放され、誰もがいつでもファクトに基づく判断と価値を生み出すアクションに集中できる環境の実現を目指しており、Snowflake Intelligenceはそれをサポートしてくれると感じています。現在進めている検証では、従来大きな手間がかかっていた分析業務が自然言語による問いかけだけで完結し、必要な洞察へ即座に到達できる手応えを得ています。引き続き、Snowflake Intelligenceのさらなる発展に期待しております」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003Eコクヨ株式会社\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003Eビジネスサプライ事業本部 ビジネスサプライ事業戦略室 データドリブン推進ユニット \u003C/p\u003E\r\n\u003Cp\u003Eデータドリブン推進ユニット長 川村真澄 氏\u003C/p\u003E\r\n\u003Cp\u003E「Snowflake Intelligenceは、専門的なスキルの壁を取り払い、ビジネスユーザーが自然言語でデータと対話できる画期的なAIアシスタントです。これにより、あらゆる部門のメンバーが簡単に必要なインサイトを取り出し、意思決定のスピードと質を向上できます。今回の正式リリースにより、コクヨ組織全体でのデータ駆動型意思決定が飛躍的に拡大することを期待しています」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E株式会社ぐるなび　\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003E執行役員 CTO 岩本 俊明 氏\u003C/p\u003E\r\n\u003Cp\u003E「Snowflake Intelligenceは、セキュリティとガバナンスを維持したままAIエージェントの可能性を最大化するものであり、私たちが目指す方向性を強力に後押しするものです。整備されたデータ環境と本機能を組み合わせることで、これまでの取り組みを単なる効率化にとどめず、働き方そのものを抜本的に変える「業務革命」へと昇華できるものと確信しています。今後の発展にも大いに期待しております」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E中部電力株式会社\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003EDX推進部 DX推進グループ 副長 牧 駿佑 氏\u003C/p\u003E\r\n\u003Cp\u003E「Snowflake Intelligenceは、自然言語での会話を通じてデータ活用のハードルを下げ、新たな多くの人々が価値を引き出すことを可能にします。そして、従来のデータ利活用者の生産性を向上させます。中でもパブリックレビューで感じた一番の魅力は、データ分析のステップを学ぶ教育ツールにもなる点です。AIが考える分析ステップとともに、Intelligenceとの会話を通じて、自然とデータ分析に必要な観点を学ぶことができます。今後の発展を期待しています」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003Eアストラゼネカ株式会社\u003C/b\u003E　\u003C/p\u003E\r\n\u003Cp\u003ECustomer Engagement & IT Data and Business Intelligence Manager 石飛 和子 氏\u003C/p\u003E\r\n\u003Cp\u003E「パブリックプレビューを通じて、Snowflake Intelligenceがもたらすデータ活用の変革力を強く実感しています。このソリューションにより、自然言語でドキュメントやデータへアクセスできる体験は、全社員にデータ活用を民主化し、意思決定の質とスピードを飛躍的に向上させる未来を描きます。特に、経営層が複雑な検索プロセスを経ることなく、AIアシスタントを通じて迅速にインサイトを得られることは、アストラゼネカの競争力強化に直結する大きな価値です。今回の正式リリースは、当社のビジネス成長と意思決定スピードを加速させる重要な一歩であると確信しています」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E三洋化成工業株式会社\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003Eデジタル開発本部業務革新部DX推進グループ グループマネージャー 松原 佑介 氏\u003C/p\u003E\r\n\u003Cp\u003E「Snowflake Intelligenceは、UI上でエージェントを直感的かつ手軽に構築できる点に大きな価値を感じています。Snowflakeのロール管理により、経営層向けなど対象ユーザーを厳密に制御しながら、AI SQLを組み込んだdbtパイプラインでCortex Searchのインデックスを整備することで、必要な検索基盤を一連の流れとして用意できるという手応えも得ています。利便性とガバナンスを両立した形での全社展開に、大きな期待を寄せています」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003Eポリプラスチックス株式会社\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003EICT統括部 課長 内藤 晶子 氏\u003C/p\u003E\r\n\u003Cp\u003E「Snowflake IntelligenceのPoCを通じて、データ活用とAIの新しい可能性を実感しました。\u003C/p\u003E\r\n\u003Cp\u003Eこの検証では、ITヘルプデスクのデータ分析や、過去の問い合わせやマニュアルを参照した的確な回答、メール送信など、様々なタスクを組み合わせて柔軟に実行できることを確認できました。AIの思考プロセスが可視化され、結果の信頼性確認や修正が容易な点も実証されました。このPoCの成果から、他の業務領域への展開も十分に期待でき、より効率的な業務環境の実現が可能であることを確信しています」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003Eクラシル株式会社\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003E開発BU Data Team Leader 張替 裕矢 氏\u003C/p\u003E\r\n\u003Cp\u003E「現在のAI時代においてSnowflake Intelligenceこそが組織でのデータ活用を推進する我々が待ち望んでいたものだと確信しています。データの管理を正しく行うことさえできれば、即座に信頼性の高いインサイトから意思決定ができる期待があり、実際に利用しても間違った意思決定が行われないようなガードレール設計やガバナンスの設計により、安心してデータ活用におけるAIの利便性を享受できることも大きな魅力だと感じています。これから我々の組織でも全員がデータドリブンな意思決定を即座に行うためにSnowflake Intelligenceを活用していく未来がすぐそこまで来ています」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E株式会社ヌーラボ\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003ERevOps部 データインテグレーションユニット エンジニアリングリーダー 尾上 大介 氏\u003C/p\u003E\r\n\u003Cp\u003E「これまで弊社では『データの民主化』を推進してきましたが、分析スキルを持つ人材の不足が課題でした。そこで、自然言語で対話可能なSnowflake Intelligenceに可能性を感じ、即座に導入を決定しました。ビジネス用語とデータを繋ぐ機能も実務の助けとなっています。社内に分析の担い手が増えることは、単なる効率化を超え、経営と現場が共通の視座で迅速に意思決定を行う土壌を作ることを意味しており、これは部門を超えた連携を生み、当社が掲げる『チームワークマネジメント』を加速させる鍵だと考えています。正式リリースを機に全社へ導入が広がり、組織目標達成の強力な武器となることを期待しています」\u003C/p\u003E\r\n\u003Cp\u003ESnowflakeは今後も、企業のAIエージェント導入を支援し、データとAIを活用した競争力強化を促進するパートナーエコシステムとの連携も一層強化してまいります。以下に、Snowflake Intelligenceに関するローンチパートナーからのコメントをご紹介します。\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E株式会社NTTデータ\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003E執行役員 テクノロジーコンサルティング事業本部　本部長 新谷 哲也 氏\u003C/p\u003E\r\n\u003Cp\u003E「この度、Snowflake Intelligence のローンチパートナーとして参画の機会を賜り、心より御礼申し上げます。Snowflake Intelligenceの登場により、AIを安全かつスケーラブルに活用できる環境が実現し、パートナーエコシステム全体のイノベーションが大きく前進すると確信しています。弊社はSnowflakeとの連携をさらに深化させ、企業の生成AI活用を支援する新たな価値を共に創出していきます」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003Eアクセンチュア株式会社\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003Eテクノロジーコンサルティング本部 データ＆AIグループ共同日本統括  \u003C/p\u003E\r\n\u003Cp\u003Eマネジング・ディレクター 並木 繁明 氏\u003C/p\u003E\r\n\u003Cp\u003E「Snowflake IntelligenceはデータとAIの融合を実現する次世代基盤として、企業のデジタル変革に大きな可能性をもたらすと確信しています。アクセンチュアはSnowflakeと共に企業による生成AI活用を支援し、新たな価値の創出を推進してまいります」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E合同会社デロイト トーマツ　\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003Eパートナー　大平 匡洋 氏\u003C/p\u003E\r\n\u003Cp\u003E「Snowflake Intelligenceは、企業のデータ価値を新たなステージに引き上げ、データとAIが連動したAgenticなエコシステム形成を推進可能にすると考えています。当社のデータ・AIソリューション／サービスと組み合わせることで、より本質的なインサイトによって、クライアントの知識・データを価値あるアクションへと変換し、業界ごとのAI活用・データドリブン経営の実現を強力に支援してまいります」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E株式会社アシスト\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003E上席執行役員 DX技術本部長 田畑 哲也 氏\u003C/p\u003E\r\n\u003Cp\u003E「Snowflake Intelligenceにより、データ基盤における高品質な生成AI活用が一段とお客様の実務に浸透することを期待します。データ／AI活用の導入・展開・定着に関する弊社の経験やノウハウと組み合わせることで、データとAIの一体運用をよりシンプルにし、現場に根差した価値創出を加速できると確信しています。弊社はSnowflakeとの連携を通じて、お客様のデータ価値最大化を支援してまいります」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E伊藤忠テクノソリューションズ株式会社（CTC）\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003E常務執行役員　デジタルサービス事業グループ担当役員 藤岡 良樹 氏\u003C/p\u003E\r\n\u003Cp\u003E「Snowflake Intelligenceは、データとAIの融合を安全かつスケーラブルに実現する革新的な基盤です。CTCはSnowflakeのパートナーとして、強固な連携を通じて市場価値創出を加速し、企業のデータ活用を次のステージへ導きます。クラウドとAIの力を最大限に引き出し、業界全体のイノベーションを推進しながら、お客様の競争力強化と持続的成長に貢献します。今回の発表を契機に、より多くの企業がこの変革を体感できるよう支援を強化してまいります」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E株式会社インテージテクノスフィア\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003E取締役　秦 一雄 氏\u003C/p\u003E\r\n\u003Cp\u003E「Snowflake Intelligenceは、AIとデータの融合を安全かつスケーラブルに実現する次世代プラットフォームです。インテージグループは、POSデータや生活者データ、顧客企業データなどを活用したデータ基盤をSnowflakeで構築しており、Snowflake Intelligenceによってクライアントのデータ活用が一層浸透すると確信しています。この革新をより多くの企業が享受できるよう、パートナーとして市場価値創出に貢献してまいります」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003Eクラスメソッド株式会社\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003E代表取締役　デジタルサービス事業グループ担当役員 横田 聡 氏\u003C/p\u003E\r\n\u003Cp\u003E「Snowflake Intelligenceは、データとAIを統合し、企業の課題解決を加速させる重要なプラットフォームです。クラスメソッドは『Classmethod AI Experience Center』を通じて、豊富なAI導入経験と自社での実践知見を活かし、顧客のニーズに応じた包括的な支援を展開しています。Snowflakeとの協業により、このサポート体制がさらに充実し、より多くの日本企業がAIの恩恵を受けられる環境づくりが実現します。引き続き、Snowflakeパートナーとしてイノベーション創出に貢献していきます」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E株式会社ジール\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003E代表取締役社長 沼田 善之 氏\u003C/p\u003E\r\n\u003Cp\u003E「Snowflake Intelligenceは、データとAIの融合を実現する次世代基盤として大きな可能性を感じています。弊社はSnowflake社との強固なパートナーシップのもと、AIデータクラウドを活用したデータ基盤構築からAI活用支援まで包括的に支援しており、今回の正式リリースによってこれらの取り組みがさらに加速し、企業のDX推進にいっそうの価値を提供できることを確信しています」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E株式会社日立ソリューションズ\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003E常務執行役員　渡部 二郎 氏\u003C/p\u003E\r\n\u003Cp\u003E「Snowflake Intelligenceは、AIとデータを統合し、企業のデータ活用を次のステージへ導く革新的なソリューションです。日本市場への展開は、お客さまにとって経営判断のスピードを飛躍的に高め、企業の持続的な成長へ繋げるための大きな機会であると捉えています。日立ソリューションズはこれまで、データ利活用やAI事業において、お客さまのデータに基づく最適な意思決定と価値創出を支援してきました。その中でSnowflakeを重要なソリューションと位置付け、事業を推進しております。Snowflakeのサービスパートナーとして、当社が培った導入実績・ノウハウを活かし、Snowflake社とともにお客さまの取り組みに伴走し、強力にご支援してまいります」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003EDATUM STUDIO株式会社\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003E代表取締役社長 武智 壮平 氏\u003C/p\u003E\r\n\u003Cp\u003E「Snowflake Intelligenceのローンチを心より歓迎いたします。堅牢なデータガバナンスを維持しながら生成AIを安全かつスケーラブルに活用できる基盤として、企業の意思決定を大きく進化させるものと確信しております。当社は、データ基盤構築から分析・AI開発まで一貫したケイパビリティを有しており、Snowflakeとの協業を通じて国内の幅広い業界におけるクライアントのデータ活用を支援してまいりました。Snowflake Intelligenceのローンチパートナーとして参画できることを光栄に思うとともに、クライアントのデータ価値最大化と生成AIの実装高度化に、引き続き貢献してまいります」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003ESCSK株式会社\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003EIT インフラサービス事業グループ クラウドサービス事業本部長  白川 正人 氏\u003C/p\u003E\r\n\u003Cp\u003E「データとAIの融合を加速させる次世代の基盤として、Snowflake Intelligenceのローンチを心より歓迎いたします。SCSKは、お客様の事業戦略を支えるハイブリッド・マルチクラウド環境の提供と、散在したデータの統合、AIを用いたデータの利活用に取り組んでまいりました。Snowflake社との強固なパートナーシップを通じ、さらに安全で高品質なデータ基盤の実装を推進し、AIによるお客様の価値創出に貢献してまいります」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E日本電気株式会社（NEC） \u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003ECorporate SVP 兼 みらい価値共創部門長 和田 茂己 氏\u003C/p\u003E\r\n\u003Cp\u003E「NECは、Snowflake Intelligenceのリリースに際し、ローンチパートナーとして参画できることを大変光栄に存じます。Snowflake Intelligenceの自然言語による高度なデータ活用は大変魅力的であり、NECの培った業種・業務知見、dotDataによる特徴量の抽出、図表の内容を正確に読み取る等のAI-Ready Data化技術など、両社の持つ高度なAI技術を融合することで、データドリブンな業務変革はより加速するものと確信しております。NECはSnowflakeとの協業を通じて、これからもお客様の価値創造に貢献してまいります」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E株式会社truestar\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003Eプロダクト開発部 ディレクター 小宮山 紘平 氏\u003C/p\u003E\r\n\u003Cp\u003E「Snowflake Intelligenceは人類が求めていたAIとの共創という未来の到来を確信させるのに十分な強力なツールです。データとAIが同一基盤で融合することで生み出される圧倒的なスピードは、企業に異次元の価値創出をもたらすことでしょう。弊社はSnowflakeのパートナーとして、業務効率化をはじめとしたAI活用支援を通じ、企業がデータ価値を最大化できる環境づくりに今後も取り組んでまいります」\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E関連情報：\u003C/b\u003E\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003ESnowflake Intelligenceのエージェント型AIによるデータアクセスの民主化に関する\u003Ca href=\"https://www.snowflake.com/ja/blog/snowflake-intelligence-enterprise-ai/\"\u003Eブログ投稿\u003C/a\u003E\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003Eエンタープライズデータによるエージェント型AIアプリのより迅速で簡単な構築、展開を可能にする当社の取り組みに関する\u003Ca href=\"https://www.snowflake.com/ja/blog/intelligent-governed-ai-at-scale/\"\u003Eブログ投稿\u003C/a\u003E\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EBUILD 2025で公開したすべてのイノベーションと\u003Ca href=\"https://www.snowflake.com/ja/news/\"\u003E発表内容\u003C/a\u003E\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Ca href=\"https://www.linkedin.com/company/snowflake-computing/posts\"\u003ELinkedIn\u003C/a\u003E、X（\u003Ca href=\"https://x.com/Snowflake?_fsi=GoSftacn\"\u003E本社公式\u003C/a\u003E・\u003Ca href=\"https://x.com/Snowflake_Japan\"\u003E日本公式\u003C/a\u003E)\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003E※本報道資料は米国スノーフレイク社が11月4日に\u003Ca href=\"https://www.snowflake.com/en/news/press-releases/snowflake-intelligence-brings-agentic-AI-to-the-enterprise/\"\u003E発表\u003C/a\u003Eした内容の抄訳をもとに、日本市場向けに一部内容を編集し、顧客企業・パートナー企業のコメントを追記しています。\u003C/p\u003E\r\n\u003Cp\u003E¹ 2025年10月24日時点\u003C/p\u003E\r\n\u003Cp\u003Eこのプレスリリースには、明示または黙示を問わず、（i）Snowflakeの事業戦略、（ii）開発中または一般に提供されていないSnowflakeの製品、サービス、テクノロジー、（iii）市場の拡大、トレンド、競争状況に関する考察、（iv）Snowflake製品とサードパーティプラットフォームの統合およびサードパーティプラットフォーム上でのSnowflake製品の相互運用性と可用性についての言及など、将来の見通しに関する記述が含まれています。これらの将来の見通しに関する記述は、さまざまなリスク、不確実性、前提に左右されます。これには、Snowflakeが証券取引委員会に提出するForm 10-Q（四半期レポート）やForm 10-K（年次レポート）内の「リスク要因」などのセグメントに記載されているリスク、不確実性、前提が含まれます。これらのリスク、不確実性、前提を考慮すると、将来の見通しに関する記述において予想または暗示されている結果と比較して、実際には大きく異なる結果や反対の結果に至る可能性があります。  これらの記述は、初回記述日の時点に限った記述であり、かかる記述の時点で入手可能な情報に、および/または経営陣がかかる時点で抱いていた誠実な信念に、基づいています。法律で義務付けられている場合を除き、Snowflakeには、本プレスリリース内の記述を更新する義務または意図は、一切ありません。そのため、将来の見通しに関するいかなる記述も、未来の出来事についての予測として利用してはなりません。 \u003C/p\u003E\r\n\u003Cp\u003E©2025 Snowflake Inc All rights reserved. Snowflake、Snowflakeのロゴ、および本書に記載されているその他すべてのSnowflakeの製品、機能、サービス名は、米国およびその他の国におけるSnowflake Inc.の登録商標または商標です。 本書で言及または使用されているその他すべてのブランド名またはロゴは、識別目的でのみ使用されており、各所有者の商標である可能性があります。 Snowflakeが、必ずしもかかる商標所有者と関係を持ち、または出資や支援を受けているわけではありません。\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-large"},"experiencefragment":{"id":"experiencefragment-be419e63c0","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/ja/site/press/press---about-snowflake/press---about-snowflake/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment",":items":{"root":{"columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 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href=\"http://snowflake.com/ja\"\u003Esnowflake.com/ja\u003C/a\u003E（ニューヨーク証券取引所：SNOW）をご覧ください。\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular"}},":itemsOrder":["title_v2","text"]},"image":{"id":"image-a7e00bde00","additionalClasses":"about-snowflake__logo","alt":"Snowflake logo","lazyEnabled":true,"src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--8ae04ca5-62df-4e11-9224-59b9cb7dcf47/snowflake%25403x.png?quality=85&preferwebp=true","width":"624","height":"351",":type":"snowflake-site/components/image"}},":itemsOrder":["container","image"]}},":itemsOrder":["container"]}},":itemsOrder":["root"],"classNames":"aem-xf"}},":itemsOrder":["image","text_copy","experiencefragment"]},"flexible_column_content_container_2":{"id":"container-30ae430d96","layout":"SIMPLE",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium",":items":{"container_949147658":{"fragmentPath":"/content/experience-fragments/snowflake-site/language-masters/en/site/share-icons/share-icons","text":"Snowflake Intelligence、AI搭載の企業向けデータエージェントの日本展開を開始",":type":"cq/experience-fragments/editor/components/experiencefragment"},"container":{"columnClassNames":{"container_copy":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-439474d70b","layout":"RESPONSIVE_GRID","columnCount":12,":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"container_copy":{"columnClassNames":{"container_copy":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-4c42abb9ee","layout":"RESPONSIVE_GRID","columnCount":12,":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"container_copy":{"columnClassNames":{"title_v2_copy_copy":"aem-GridColumn aem-GridColumn--default--12","container_copy":"aem-GridColumn 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aem-Grid--default--12","id":"container-38cb8722d7","layout":"RESPONSIVE_GRID","columnCount":12,":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-182c54337a","type":"heading6","lines":["PRESS CONTACT"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment"},"experiencefragment_1":{"id":"experiencefragment-648d6d1c6e","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/ja/site/press/press-contact/snowflake-pr/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment",":items":{"root":{"columnClassNames":{"text":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-2a231e0c2c","layout":"RESPONSIVE_GRID","columnCount":12,":type":"snowflake-site/components/container",":items":{"text":{"id":"text-bb28908246","text":"\u003Cp\u003ESnowflake合同会社\u003Cbr\u003E\r\nPR担当 山中 \u003Ca 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