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16, 2026","tag":{"tagText":"製品 & テクノロジー","tagColor":"#3F808A"},"authors":[{"authorImage":{"id":"image-99156befe6","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--c32eb048-076f-4ffc-aa8e-21b9515f4b4e/liam-sosinsky.png?quality=85&preferwebp=true","lazyEnabled":true,"height":"1160","width":"1160",":type":"snowflake-site/components/image"},"authorCta":{"id":"button-ffb5ab57fc","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/authors/liam-sosinsky/"},"linkTargetContentType":"DOCUMENT_LEARN","linkType":"SNOWFLAKE_INTERNAL",":type":"snowflake-site/components/button","text":"Liam Sosinsky"}}],"title":{"lines":["エンタープライズの移行とモダナイゼーションに向けたAI駆動プラットフォーム、Snowflake AIMの概要"],"type":"heading2",":type":"snowflake-site/components/title-v2"},":type":"snowflake-site/components/blog/blog-hero"}},":itemsOrder":["blog_hero"]},"responsivegrid_content":{"columnClassNames":{"image_copy":"aem-GridColumn aem-GridColumn--default--12","image":"aem-GridColumn aem-GridColumn--default--12","blog_text_copy":"aem-GridColumn aem-GridColumn--default--12","blog_text":"aem-GridColumn aem-GridColumn--default--12","image_copy_copy":"aem-GridColumn aem-GridColumn--default--12","image_copy_copy_1919907742":"aem-GridColumn aem-GridColumn--default--12","blog_text_copy_627414614":"aem-GridColumn aem-GridColumn--default--12","blog_text_copy_62741":"aem-GridColumn aem-GridColumn--default--12","blog_text_copy_62741_933556252":"aem-GridColumn aem-GridColumn--default--12","image_copy_copy_1919541347":"aem-GridColumn aem-GridColumn--default--12","blog_text_copy_62741_1227566573":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"appliedCssClassNames":"snowflake-layout-container-inner-padding-small",":items":{"blog_text_copy":{"id":"blog-text-1dda132491","text":"\u003Cp\u003E今日の組織は、データプラットフォームをモダナイズし、クラウドの導入を加速させ、AIドリブンのイノベーションを実現するよう強く求められています。しかし、大規模な移行は依然として、企業が着手するイニシアチブの中で最も複雑で、時間がかかり、リスクの高いものの1つです。チームは、何千ものオブジェクトを評価し、レガシーコードをモダナイズし、重要なデータを移行し、結果を検証して、プロセス全体を通じて事業継続性を維持する必要があります。\u003C/p\u003E\n\u003Cp\u003Eこれらの課題を解決するために、企業は通常、2つのアプローチのいずれかを追求します。ワークロードを\u003Ca href=\"http://snowflake.com/en/migrate-to-the-cloud/modernization\" target=\"_blank\" rel=\"noopener noreferrer\"\u003Eモダナイズ\u003C/a\u003Eすることを選択し、レガシーデータベース、アプリケーション、パイプライン、アナリティクス環境を、長期的なイノベーションに向けて最適化されたSnowflakeネイティブなアーキテクチャに変換する組織もあります。非常に複雑なTeradataの移行に対して、Snowflakeは\u003Ca href=\"http://snowflake.com/en/migrate-to-the-cloud/virtualization\" target=\"_blank\" rel=\"noopener noreferrer\"\u003E仮想化\u003C/a\u003Eベースのアプローチを導入しました。このアプローチにより、組織は移行リスクを軽減し、大規模な書き換え、ダウンタイム、ビジネスの中断を回避しながら、Teradata環境全体でAIとアナリティクスから迅速に価値を引き出すことができます。また、このアプローチは、組織が価値実現までの時間を短縮し、重要なTeradataの更新マイルストーンに間に合わなくなるリスクを軽減するのにも役立ちます。実際には、多くの組織が段階的なモダナイゼーション戦略の一環として、両方のアプローチを活用しています。\u003C/p\u003E\n\u003Cp\u003E本日、組織がSnowflake上でエンタープライズデータとコードのワークロードをモダナイズ、移行、仮想化するのを支援する統合AI駆動プラットフォーム、\u003Ca href=\"http://snowflake.com/en/migrate-to-the-cloud/modernization\" target=\"_blank\" rel=\"noopener noreferrer\"\u003ESnowflake AIM\u003C/a\u003Eを発表いたします。\u003C/p\u003E\n\u003Ch2\u003ESnowflake AIMの概要\u003C/h2\u003E\n\u003Cp\u003ESnowflake AIMは、SnowConvert AI、Snowpark移行アクセラレーター、Datometryの実証済みの機能を統合し、エンタープライズの変革を加速するように設計された単一のAI駆動プラットフォームとして構築されています。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"image":{"id":"image-67cda33707","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--61d971b2-3bb8-477a-b9d3-3c96de4e49d1/snowaim-fig1.png?quality=85&preferwebp=true","alt":"Figure 1: Snowflake offers two migration paths — virtualization and modernization — along with the Snowflake AIM migration agent and the supported source systems that can be migrated.","lazyEnabled":true,"height":"756","width":"1762","title":"Figure 1: Snowflake offers two migration paths — virtualization and modernization — along with the Snowflake AIM migration agent and the supported source systems that can be migrated.",":type":"snowflake-site/components/image"},"blog_text":{"id":"blog-text-cb25d95019","text":"\u003Cp\u003E \u003C/p\u003E\n\u003Cp\u003ESnowflake AIMは、Snowflakeに移行するための2つの補完的な手段を提供します。\u003C/p\u003E\n\u003Ch3\u003EAIM移行エージェントによるモダナイズ\u003C/h3\u003E\n\u003Cp\u003Eテクノロジースタックの包括的なモダナイズを目指す組織向けに、Snowflake AIMは、データベース、抽出、変換、ロード（ETL）パイプライン、Apache Spark™ワークロード、API、ストアドプロシージャ、レポート資産、ビジネスインテリジェンスのインフラストラクチャ全体にわたる評価、コード変換、依存関係分析、テスト、検証、移行を自動化します。AI駆動の評価、自動化されたコード変換、オーケストレーション、検証を組み合わせることで、Snowflake AIMは、チームがレガシーワークロードをSnowflakeネイティブなアーキテクチャへ、より迅速かつ低リスクで変換できるよう支援します。\u003C/p\u003E\n\u003Cp\u003E\u003Ca href=\"http://snowflake.com/en/migrate-to-the-cloud/modernization\" target=\"_blank\" rel=\"noopener noreferrer\"\u003E詳細はこちら \u003E\u003C/a\u003E\u003C/p\u003E\n\u003Cp\u003ESnowflake AIMのモダナイゼーション機能の一部として、Apache Spark用Snowpark Connectは、組織が最小限の書き換えでSparkワークロードをSnowflakeに移行できるようにすることで、Sparkのモダナイゼーションを引き続き簡素化します。最近の機能強化には、ScalaおよびJavaサポートの拡大、新しい\u003Ccode\u003Esnowpark-submit\u003C/code\u003E CLIによる展開の合理化、スキーマの進化や並列読み取りなどのファイル処理機能の向上、Jupyter、Airflow、外部のオーケストレーションツールなどの環境全体にわたる統合されたオブザーバビリティが含まれます。これらの進歩により、運用の複雑さを軽減しながら、移行の取り組みを加速させることができます。SnowparkおよびSnowpark Connectの導入を加速させるには、Snowflake AIMの一部としてCoCo CLIにバンドルされているspark-migrationスキルをご活用ください。\u003C/p\u003E\n\u003Ch3\u003E仮想化による移行の加速\u003C/h3\u003E\n\u003Cp\u003Eレガシープラットフォームからの迅速な脱却を目指す組織向けに、Snowflake AIMは、中断を最小限に抑えながら真のリフトアンドシフト移行を可能にする仮想化機能を提供します。\u003C/p\u003E\n\u003Cp\u003Eお客様は、大規模なSQLの書き換え、BIのリファクタリング、アプリケーションの変更を行うことなく、既存のワークロードをSnowflake上で直接実行できます。移行前に依存関係の再構築に数か月から数年を費やす代わりに、チームはより迅速にSnowflakeへ移行し、コストのかかるプラットフォームの更新を回避して、ミッションクリティカルな業務の継続性を維持できます。\u003C/p\u003E\n\u003Cp\u003E現在、このアプローチはTeradataの移行をサポートしています。Teradataの移行において、組織は多くの場合、多額の書き換えコスト、運用リスク、更新の圧力に直面します。Snowflake AIMを使用することで、お客様は以下のことが可能になります。\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E最小限の書き換えでTeradataから迅速に移行する\u003C/li\u003E\n\u003Cli\u003Eコストのかかる契約更新とプラットフォームのロックインを回避する\u003C/li\u003E\n\u003Cli\u003E既存のアプリケーションを変更せずに稼働させ続ける\u003C/li\u003E\n\u003Cli\u003E移行のダウンタイムとビジネスの中断を軽減する\u003C/li\u003E\n\u003Cli\u003Eアプリケーションの回帰リスクを低減する\u003C/li\u003E\n\u003Cli\u003ESnowflakeでの価値実現までの時間を短縮する\u003C/li\u003E\n\u003Cli\u003E自社のペースで段階的にモダナイズする\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003Eリスクの高い「ビッグバン」移行か、長年にわたる技術的負債かの選択を組織に強いるのではなく、Snowflake AIMは段階的なアプローチを可能にします。まずTeradataワークロードをSnowflakeにリフトアンドシフトし、その後、時間をかけて戦略的にモダナイズします。\u003C/p\u003E\n\u003Cp\u003E\u003Ca href=\"http://snowflake.com/en/migrate-to-the-cloud/virtualization\" target=\"_blank\" rel=\"noopener noreferrer\"\u003E詳細はこちら \u003E\u003C/a\u003E\u003C/p\u003E\n\u003Ch2\u003E単一のプラットフォームでSnowflakeへの複数のパスを提供\u003C/h2\u003E\n\u003Cp\u003E組織がレガシー環境をSnowflakeネイティブなアーキテクチャに変換する場合でも、移行スケジュールを前倒しするためにワークロードを仮想化する場合でも、Snowflake AIMは、評価、移行、モダナイゼーション、テスト、検証、オーケストレーションのための統合プラットフォームを提供します。\u003C/p\u003E\n\u003Cp\u003Eその結果、Snowflakeへのより迅速で予測可能なパスが実現し、移行リスクを軽減して中断を最小限に抑えながら、組織がデータからより早く価値を引き出せるようになります。チームはビジネスで求められるペースで移行を進めることができ、同時に、モダナイゼーションの方法と時期に対する制御を維持できます。\u003C/p\u003E\n\u003Cp\u003ESnowflake AIMを使用すれば、お客様はスピードと変革のどちらかを選択する必要はなくなり、両方を達成できます。\u003C/p\u003E\n\u003Ch2\u003ESnowflake AIM移行エージェントを使用したエンドツーエンドのデータベース移行の簡素化\u003C/h2\u003E\n\u003Cp\u003ESnowflake AIMにおける重要なイノベーションの1つが、Snowflake AIM移行エージェントの導入です。これは、AI支援型の移行オーケストレーターであり、移行ライフサイクル全体を通じてチームを導く役割を果たします。\u003C/p\u003E\n\u003Cp\u003E移行エージェントは、以下にわたる構造化されたインテリジェントなワークフローを提供し、組織が計画から本番環境へと移行するのを支援します。\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E評価と計画\u003C/li\u003E\n\u003Cli\u003Eコード変換とモダナイゼーション\u003C/li\u003E\n\u003Cli\u003Eオブジェクトの展開\u003C/li\u003E\n\u003Cli\u003Eデータ移行\u003C/li\u003E\n\u003Cli\u003E取り込みパイプラインの移行\u003C/li\u003E\n\u003Cli\u003EBIインフラストラクチャの移行\u003C/li\u003E\n\u003Cli\u003Eテストと検証\u003C/li\u003E\n\u003Cli\u003E修復と最適化\u003C/li\u003E\n\u003C/ul\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"image_copy_copy":{"id":"image-2cc0e755bc","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--49d7e9f2-11aa-4f1b-bd95-ab34a8d01485/snowaim-fig2.png?quality=85&preferwebp=true","alt":"Figure 2: Illustration of the key stages of the migration lifecycle, orchestrated by the Snowflake AIM Migration Agent.","lazyEnabled":true,"height":"844","width":"1792","title":"Figure 2: Illustration of the key stages of the migration lifecycle, orchestrated by the Snowflake AIM Migration Agent.",":type":"snowflake-site/components/image"},"blog_text_copy_62741":{"id":"blog-text-7362db8a5b","text":"\u003Cp\u003E \u003C/p\u003E\n\u003Cp\u003Eチームは、連携していないツール、スプレッドシート、手動での追跡、組織内の暗黙知に頼るのではなく、プロジェクトの状態を把握し、進捗を追跡して、移行ジャーニー全体で実行を調整する一元化された移行エクスペリエンスを得ることができます。\u003C/p\u003E\n\u003Cp\u003E\u003Ca rel=\"noopener noreferrer\" target=\"_blank\" href=\"https://www.snowflake.com/en/blog/engineering/snowflake-aim-migration-agent/\"\u003E詳細はこちら \u003E\u003C/a\u003E\u003C/p\u003E\n\u003Ch3\u003E実証済みの移行テクノロジーを基盤に構築\u003C/h3\u003E\n\u003Cp\u003ESnowflake AIM移行エージェントは、決定論的な移行テクノロジーの信頼性と、AI支援によるガイダンスの柔軟性を組み合わせています。\u003C/p\u003E\n\u003Cp\u003Eこのエージェントの中核では、過去5年間にわたり世界中の組織にエンタープライズ移行の成果をもたらしてきたSnowConvert AIの背後にある、実証済みの移行に関する知的財産を活用しています。この決定論的な基盤により、一貫性、再現性、精度が提供されます。\u003C/p\u003E\n\u003Cp\u003EAIは、以下の機能を通じてチームが移行のボトルネックをより迅速に解決できるよう支援することで、その基盤を強化します。\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003Eインテリジェントな問題の解説\u003C/li\u003E\n\u003Cli\u003E修復の提案\u003C/li\u003E\n\u003Cli\u003Eインタラクティブなコード修正\u003C/li\u003E\n\u003Cli\u003Eテストの自動生成\u003C/li\u003E\n\u003Cli\u003E検証の支援\u003C/li\u003E\n\u003Cli\u003Eパターンの認識と再利用\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003Eその結果、エンジニアリングレベルの精度とAI駆動のアクセラレーションを組み合わせた移行エクスペリエンスが実現します。\u003C/p\u003E\n\u003Ch3\u003E専用に構築された移行オペレーティングシステム\u003C/h3\u003E\n\u003Cp\u003E汎用のコーディングアシスタントとは異なり、Snowflake AIM移行エージェントは移行の実行専用に構築されています。\u003C/p\u003E\n\u003Cp\u003Eこのエージェントは、移行の段階を理解し、プロジェクトの状態を追跡し、依存関係を分析し、展開ウェーブを構築し、テストサイクルを調整し、構造化されたワークフローを通じてデータ、コード、パイプライン、アナリティクス資産の移動を管理します。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"image_copy_copy_1919541347":{"id":"image-46092ff3e3","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--a94988cc-a197-4b15-8219-8acf4e33e90d/snowaim-fig3.png?quality=85&preferwebp=true","alt":"Figure 3: The key stages of the migration lifecycle, orchestrated by the Snowflake AIM migration agent.","lazyEnabled":true,"height":"415","width":"467","title":"Figure 3: The key stages of the migration lifecycle, orchestrated by the Snowflake AIM migration agent.",":type":"snowflake-site/components/image"},"blog_text_copy_62741_1227566573":{"id":"blog-text-499514037b","text":"\u003Cp\u003E \u003C/p\u003E\n\u003Cp\u003Eチームは問題を解決するにつれて、成功した修正を再利用可能な移行の知識へと変換できます。チームは、データ型のマッピング、プロシージャの書き換え、SQLダイアレクトの変換、取り込みの変換、レポートの依存関係などの共通パターンを、より広範な移行の取り組み全体に適用できます。\u003C/p\u003E\n\u003Cp\u003E事実上、移行は時間の経過とともによりスマートになり、プロジェクトの進行に合わせてチームは継続的に効率を向上させることができます。\u003C/p\u003E\n\u003Cp\u003E\u003Ca rel=\"noopener noreferrer\" target=\"_blank\" href=\"https://docs.snowflake.com/en/migrations/migration-skill/skill\"\u003E詳細はこちら \u003E\u003C/a\u003E\u003C/p\u003E\n\u003Ch3\u003EAI駆動の評価による移行の複雑さの理解\u003C/h3\u003E\n\u003Cp\u003E移行を成功させるには、まず今後の作業の範囲と複雑さを理解することから始まります。\u003C/p\u003E\n\u003Cp\u003ESnowflake AIMは、組織がソース環境を迅速に分析し、実行を開始する前に移行要件を特定するのに役立つ、AI駆動の評価機能を導入しています。\u003C/p\u003E\n\u003Cp\u003Eチームは以下に対する可視性を得ることができます。\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E移行の範囲と工数\u003C/li\u003E\n\u003Cli\u003Eオブジェクトのインベントリと依存関係\u003C/li\u003E\n\u003Cli\u003Eコードの複雑さと互換性\u003C/li\u003E\n\u003Cli\u003Eモダナイゼーションの機会\u003C/li\u003E\n\u003Cli\u003E潜在的なリスクとブロッカー\u003C/li\u003E\n\u003Cli\u003Eプロジェクトの順序付けの推奨事項\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003E組織は、環境の手動分析に何週間も費やすのではなく、より優れた計画、予測、意思決定をサポートする包括的な移行ブループリントを迅速に確立できます。\u003C/p\u003E\n\u003Cp\u003E\u003Ca rel=\"noopener noreferrer\" target=\"_blank\" href=\"https://docs.snowflake.com/en/migrations/assessment\"\u003E詳細はこちら \u003E\u003C/a\u003E\u003C/p\u003E\n\u003Ch3\u003Eエンドツーエンドのシステムテストによる確実性の確保\u003C/h3\u003E\n\u003Cp\u003E検証は依然として、あらゆる移行プロジェクトにおいて最も重要であり、多くの場合、最もリソースを消費するフェーズの1つです。\u003C/p\u003E\n\u003Cp\u003ESnowflake AIMは、チームが移行されたワークロードをより迅速かつ確実に検証できるように設計された、エンドツーエンドのテスト機能を導入しています。\u003C/p\u003E\n\u003Cp\u003Eこのプラットフォームは、組織による以下の作業を支援します。\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E検証戦略の生成\u003C/li\u003E\n\u003Cli\u003E自動化されたテストケースの作成\u003C/li\u003E\n\u003Cli\u003Eソースとターゲットシステムの動作の比較\u003C/li\u003E\n\u003Cli\u003E不一致の特定\u003C/li\u003E\n\u003Cli\u003E修復ワークフローの加速\u003C/li\u003E\n\u003Cli\u003E移行ウェーブ全体での検証の進捗の追跡\u003C/li\u003E\n\u003C/ul\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"image_copy_copy_1919907742":{"id":"image-2376b8fed0","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--3e8be3fe-3c8a-457e-897c-cf980de880da/snowaim-fig4.png?quality=85&preferwebp=true","alt":"Figure 4: The testing and validation capabilities available through Snowflake AIM during the migration process.","lazyEnabled":true,"height":"407","width":"483","title":"Figure 4: The testing and validation capabilities available through Snowflake AIM during the migration process.",":type":"snowflake-site/components/image"},"blog_text_copy_62741_933556252":{"id":"blog-text-dbf64c7a5d","text":"\u003Cp\u003E \u003C/p\u003E\n\u003Cp\u003Eテストを移行プロセスに直接組み込むことで、チームはリスクを軽減しながら、本番環境への準備に対する確実性を高めることができます。\u003C/p\u003E\n\u003Cp\u003E\u003Ca rel=\"noopener noreferrer\" target=\"_blank\" href=\"https://docs.snowflake.com/en/migrations/testing\"\u003E詳細はこちら \u003E\u003C/a\u003E\u003C/p\u003E\n\u003Ch3\u003E組み込み検証による信頼性の高いデータ移行\u003C/h3\u003E\n\u003Cp\u003Eデータ移行の成功は、信頼にかかっています。\u003C/p\u003E\n\u003Cp\u003ESnowflake AIMには組み込みの検証機能が備わっており、組織は移行ライフサイクル全体を通じて、移行されたデータの正確性、完全性、一貫性を維持できます。\u003C/p\u003E\n\u003Cp\u003E組織は、以下の項目を継続的に検証できます。\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003Eデータの完全性\u003C/li\u003E\n\u003Cli\u003Eデータ品質\u003C/li\u003E\n\u003Cli\u003E行レベルの正確性\u003C/li\u003E\n\u003Cli\u003Eスキーマの一貫性\u003C/li\u003E\n\u003Cli\u003Eビジネスクリティカルな成果\u003C/li\u003E\n\u003C/ul\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"image_copy":{"id":"image-e9df45718a","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--8a243b88-383b-4a68-84ac-38a5094da078/snowaim-fig5.png?quality=85&preferwebp=true","alt":"Figure 5: The integration testing capabilities available through Snowflake AIM. ","lazyEnabled":true,"height":"356","width":"413","title":"Figure 5: The integration testing capabilities available through Snowflake AIM.",":type":"snowflake-site/components/image"},"blog_text_copy_627414614":{"id":"blog-text-f9186ead0d","text":"\u003Cp\u003E \u003C/p\u003E\n\u003Cp\u003E検証を移行ワークフローに直接統合することで、チームはダウンストリームのユーザー、アプリケーション、またはアナリティクスプロセスに影響が及ぶ前に、問題を迅速に特定して解決できます。\u003C/p\u003E\n\u003Cp\u003E\u003Ca rel=\"noopener noreferrer\" target=\"_blank\" href=\"https://docs.snowflake.com/en/migrations/data-migration-and-data-validation\"\u003E詳細はこちら \u003E\u003C/a\u003E\u003C/p\u003E\n\u003Ch2\u003ESnowflakeへの移行の未来\u003C/h2\u003E\n\u003Cp\u003ESnowflake AIM移行エージェントは、エンタープライズ移行の新しいオペレーティングモデルです。\u003C/p\u003E\n\u003Cp\u003E特化したワークフローや高度な運用制御には、引き続き移行アプリケーションやコマンドラインツールを利用できますが、Snowflakeへのモダナイゼーションを進める組織にとって、現在では移行エージェントが戦略的かつ推奨されるアプローチとなっています。\u003C/p\u003E\n\u003Cp\u003Eこれは、数千のデータベースオブジェクト、複雑な手続き型ロジック、取り込みフレームワーク、およびダウンストリームのアナリティクス依存関係を伴う大規模な移行イニシアチブにおいて特に有用です。このエージェントは、エンタープライズ規模で移行を成功させるために必要な構造、自動化、透明性、および再現性を提供します。\u003C/p\u003E\n\u003Cp\u003Eチームは、個別のツールや手動の調整によって移行を管理するのではなく、意思決定を記録し、成功したパターンを再利用し、ディスカバリから本番環境への展開に至るまでの進捗を継続的に検証する、永続的なワークフローを通じて運用できます。\u003C/p\u003E\n\u003Ch2\u003E使用を開始する\u003C/h2\u003E\n\u003Cp\u003ESnowflake AIMは、エンタープライズの移行とモダナイゼーションの次なる進化を示すものであり、評価、移行、テスト、検証、オーケストレーション、およびAI駆動のガイダンスをシングルプラットフォームに統合します。\u003C/p\u003E\n\u003Cp\u003E初めてのSnowflakeへの移行を計画している場合でも、大規模なモダナイゼーションイニシアチブを加速させている場合でも、Snowflake AIMは組織がより迅速に移行し、リスクを軽減し、より早く価値を実現できるよう支援します。\u003C/p\u003E\n\u003Cp\u003E移行の未来は、インテリジェントで、ガイド付きで、エンドツーエンドです。そして、それはSnowflake AIMで今すぐ利用できます。\u003C/p\u003E\n\u003Cp\u003ESnowflake AIMを使用した\u003Ca rel=\"noopener 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