All Foundries

商品管理と取引

データに基づくインサイトと、セキュアで機動性の高いプラットフォームにより、グローバルな商取引を支えるトレーディングエコシステムを変革します。

顧客とマーケティング戦略

パーソナライズされたつながりある体験を通じて顧客エンゲージメントを再構築し、信頼と長期的な価値を築きます。

デジタルエンジニアリング

アイデアをスケーラブルなデジタルソリューションへと転換し、デザイン・テクノロジー・エンジニアリングの力で加速させます。

ステーション・スタジオ

デジタルイノベーションでモビリティハブを再定義し、移動中の人々と企業に、よりスマートでサステナブルな体験を創出します。

サプライチェーン＆インダストリー5.0

変化を予測し、目的を持って効率性を実現する、強靭で知的な供給ネットワークを構築します。

サステナビリティ

責任あるイノベーションを推進し、組織がネットゼロ目標を達成し、将来の世代に良い影響をもたらすよう応援します。

Physical AI

Physical AI gives machines, robots and physical operations the ability to perceive their environment, decide what matters and act in real time. Factories, plants, stores and infrastructure become systems able to sense conditions, learn from them and improve on their own, closing the gap between the physical and the digital world.

Next-Gen Infrastructure

From networks as infrastructure to connected platforms that enable critical, autonomous and intelligent operations.

3% more invoices per person in an automated Procure-to-Pay cycle

Purchasing teams spent hours on each invoice, and the cycle had gaps in control. NTT DATA reviewed operations, tools and the organizational model, then built a roadmap with four automation scenarios. Each person in the process now handles 43% more invoices, and the process runs with 34% fewer full-time employees.

3% more invoices per person in an automated Procure-to-Pay cycle

43% more invoices per person in an automated Procure-to-Pay cycle

お問い合わせ

Utility operations specialist reviewing aligned grid, asset, field and operational data, illustrating the governed evidence foundation behind accountable AI-supported decisions.

報告書

公益事業

発電・再生可能エネルギー

送電・配電

エネルギー供給

The Data Foundation for the AI Utility Interactive

5 Oct 2026

Executive perspective

AI readiness starts with decision-grade evidence

Utility teams must be able to reconstruct the evidence and approvals behind material AI-supported decisions.

At a glance

Four conditions for governed utility AI

Four conditions determine whether utility AI can move into governed operations.

Sector coordination is increasing

The March 2026 framework proposes common standards, a coordination function and four initial data domains.

Evidence must follow the decision

Records should connect source data, context, model version, approval, action and outcome.

Duplicated foundations raise costs

Separate identities, pipelines, permissions and definitions make AI programmes harder to govern and replace.

Operational ownership stays human

Named owners, thresholds, fallback and override rules keep recommendations inside accountable utility workflows.

What leaders should do

Trace one material decision from source data and approvals to its recorded outcome.

Download the report and examine the evidence chain for accountable utility AI.

Download the full prespective

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