可視性の不足
ビジネストーク

AIが持続可能性に与える影響

AIの発展と環境への責任のバランスをとります
会議のスケジューリング
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AIを効率的に利用しないと、水やエネルギー消費量の増加、CO₂排出量の増加といった悪影響をもたらします。
サステナブルAIへの取り組み
サステナブルAIは、モデルおよびインフラ全体にわたり、効率指標、ガバナンス、最適化を統合することで、エネルギーコスト、排出量、規制リスクを抑制しながら、責任ある形でAIをスケール可能にします

これにより、責任の所在を明確にした適切なAI活用を実現します。

主なメリット
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AIによるCO2排出量の削減 
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最適化されたパフォーマンスとコスト
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成熟したAIガバナンス 
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透明性と監査可能性を備えた効果測定 

NTTデータのサポート体制は？

01
AIの持続可能性評価 
会議室でダッシュボードを見ながら資料を確認する人々
02
モデル排出量と水使用量の監視
03
最適化戦略 
未来的なディスプレイに表示された、脳型回路が並ぶ複雑なプロセス図
04
ガバナンスの枠組みガバナンス・フレームワーク 
データセンター内のコンピュータ群で動作する、脳のイメージで表現されたAIモデルの写真。背景には、発電所へとつながる複数の送電線や、水域へとつながるパイプラインが見える。
実証済みの効果
AIの環境負荷の低減
重要な結果
業界横断の企業は、測定可能なサステナビリティの成果を実現します： 
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AIのエネルギー使用量

最適化

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業務処理あたりのCO₂排出量

削減された

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コンプライアンス

確保された

AIの成長と環境への責任とのバランスをとります

AIと持続可能性のバランス

話しましょう

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