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Climate intelligence for Utilities

Climate intelligence combines AI/ML, geospatial analytics, earth observation, weather intelligence, GIS and IoT to turn climate signals into earlier operational decisions.
Utilities still plan for climate risk with static maps and records built years before the conditions they now face.
WHY THIS CLIMATE INTELLIGENCE FOR UTILITIES CHALLENGE?
Why utilities need live climate context, not static risk maps

Weather, geospatial and earth observation data change by the hour, but many utilities still assess risk on outdated maps. Climate intelligence brings live signals into planning, dispatch and field decisions before conditions turn critical.

Key benefits
Stronger Decisions Through Live Climate Context

Climate intelligence helps you spot risk earlier and put crews, assets and budget where they matter most.

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Earlier warnings, more time to act

Weather intelligence and earth observation data flag emerging risk while your teams still have time to respond.

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Crews sent to the highest-risk sites first

Geospatial analytics rank exposure by site, so crews go where the risk is greatest first.

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Assets protected before conditions turn critical

AI/ML models translate climate signals into concrete guidance for protecting transmission, distribution and generation assets.

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Emergency plans built on this week’s forecast

GIS and IoT data connect current conditions to the assets and crews they affect, not last year’s historical pattern.

How NTT DATA helps

01
Connect the data you need

NTT DATA brings together weather intelligence, geospatial analytics, earth observation, IoT and asset data your climate decisions depend on.

02
Apply intelligence at the right point

AI/ML and GIS sit where a planning or dispatch decision happens, not buried in a separate report.

03
Build on workflows you already run

Climate signals connect into your existing operational technology (OT) and enterprise systems, not another isolated layer.

04
Protect critical infrastructure

Permissions, cybersecurity controls, validation and fallback mechanisms get defined to match the safety bar your operations require.

05
Scale from proven use cases

Each new climate use case grows from a controlled deployment measured against clear operational KPIs, so scale-up follows evidence, not guesswork.

Proven impact
Earlier insight into every climate decision

Climate intelligence connects weather, geospatial and asset data with the decisions your teams make across every site.

Results that matter
Indicative Performance Objectives for Climate Intelligence

Objectives depend on baseline performance, infrastructure and deployment scope across climate-risk operations.

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Faster risk assessment across every asset

20% to 40% reduction in risk assessment time, reflecting quicker movement from climate data to an operational decision.

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Longer warning lead time for crews

15% to 30% improvement in warning lead time, giving crews more time to prepare before conditions turn critical.

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Less manual geospatial review

30% to 50% reduction in manual geospatial review, freeing analysts to focus on the highest-risk sites.

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Faster response preparation

20% to 40% reduction in response preparation time, reflecting quicker movement from warning to action.

Every climate decision deserves earlier insight

Shape the conversation that turns climate data into resilient utility operations.

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