Two utility field workers overlook a transmission corridor, wind turbines and solar arrays at sunrise, connecting human judgment with a future-ready energy system.
心を動かす会話

Human + AI Workforce

Intelligence where work happens. Human judgment where it matters. A more responsive operating model for critical infrastructure.
会議のスケジューリング
ポッドキャストを聴く
-15
+15
0:00
/
0:00
Utilities are moving beyond isolated digital initiatives toward operating models in which people, assets, data and external ecosystems work together in near real time.
WHY THIS "HUMAN + AI WORKFORCE" CHALLENGE?
From more data to better decisions at the point of work

The challenge is no longer simply to collect information. It is to connect authorized utility data with operational workflows and enterprise and operational technology systems, then place the right intelligence where a decision is made. That shift must improve productivity, reliability and resilience while preserving the human oversight, cyber controls and fallback mechanisms that critical infrastructure demands.

主なメリット
A workforce model designed for operational reality

Human expertise and machine intelligence can reinforce one another when they are built around real utility processes, clear accountability and measurable value.

チェックアイコン
Make operational work more productive

Bring relevant context into the workflow so teams spend less time assembling information and more time acting on it.

チェックアイコン
See risk earlier

Use analytics and machine intelligence to surface anomalies and changing conditions before they become harder to manage.

チェックアイコン
Strengthen asset reliability

Connect physical and market signals with operational decisions to support more informed interventions across critical assets.

チェックアイコン
Advance automation responsibly

Increase the role of automation progressively while maintaining human accountability for safety, regulatory and operational risks.

NTTデータのサポート体制は?

01
Build the connected data foundation

Connect operational, asset and enterprise information with the reliability and permissions required for critical utility work.

A utility technician connects diagnostic fiber to a protection cabinet inside an electrical substation, surrounded by switchgear and high-voltage equipment.
02
Place intelligence in context

Apply analytics, machine learning, generative AI or automation at the appropriate point in the architecture, around the asset, process or decision at hand.

Utility engineers inspect a high-voltage transmission tower as an industrial drone examines insulators in a mountainous corridor.
03
Integrate with the way work gets done

Embed outputs in existing frontline and enterprise workflows rather than creating another disconnected technology layer.

A utility maintenance crew coordinates beside a service vehicle loaded with insulated tools, with distribution infrastructure visible behind them.
04
Design for trust and control

Define permissions, cyber safeguards, validation and fallback mechanisms, retaining human oversight wherever the consequences of error require it.

Grid operators and a cyber-resilience specialist review a live electricity network diagram and operating procedure in a utility control room.
05
Scale from evidence, not ambition alone

Start with controlled use cases, measure operational KPIs and reuse proven patterns across sites, asset classes and business units.

Technicians commission an industrial monitoring cabinet between a solar farm and battery storage facility, with standardized equipment extending across the site.
A utility crew completes a walkdown inside an active electrical substation at blue hour, with a fully powered city and transmission network beyond.
実証済みの効果
Operational intelligence that moves with the utility

A connected human + AI workforce creates a more continuous link between changing physical conditions and operational action, helping teams respond with better context while keeping accountability clear.

重要な結果
Move from fragmented insight to coordinated action

The value is not an isolated AI layer. It is a utility operating model that can learn, adapt and act across generation, networks and supply.

チェックアイコン
Shorter operational cycles

Connected context can help reduce the time required to move from signal to decision and coordinated response.

チェックアイコン
Less manual coordination

Integrated workflows can reduce repetitive inspection, information gathering and handoff effort across teams.

チェックアイコン
More consistent decisions

Shared data, defined controls and clear escalation paths can support greater consistency across sites and shifts.

チェックアイコン
Reusable capability at scale

A governed architecture can extend from controlled use cases to additional assets, locations and business units without locking operations into a single technology path.

Where should human expertise and AI meet first?

Bring your highest-value utility workflows into focus and shape a governed path from operational complexity to measurable outcomes.

ドラッグ