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Climate intelligence for Utilities
Weather, geospatial and earth observation data change by the hour, but many utilities still assess risk on outdated maps.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.
Climate intelligence helps you spot risk earlier and put crews, assets and budget where they matter most.
Weather intelligence and earth observation data flag emerging risk while your teams still have time to respond.
Geospatial analytics rank exposure by site, so crews go where the risk is greatest first.
AI/ML models translate climate signals into concrete guidance for protecting transmission, distribution and generation assets.
GIS and IoT data connect current conditions to the assets and crews they affect, not last year’s historical pattern.
NTTデータのサポート体制は？
NTT DATA brings together weather intelligence, geospatial analytics, earth observation, IoT and asset data your climate decisions depend on.
AI/ML and GIS sit where a planning or dispatch decision happens, not buried in a separate report.
Climate signals connect into your existing operational technology (OT) and enterprise systems, not another isolated layer.
Permissions, cybersecurity controls, validation and fallback mechanisms get defined to match the safety bar your operations require.
Each new climate use case grows from a controlled deployment measured against clear operational KPIs, so scale-up follows evidence, not guesswork.
Climate intelligence connects weather, geospatial and asset data with the decisions your teams make across every site.
Objectives depend on baseline performance, infrastructure and deployment scope across climate-risk operations.
20% to 40% reduction in risk assessment time, reflecting quicker movement from climate data to an operational decision.
15% to 30% improvement in warning lead time, giving crews more time to prepare before conditions turn critical.
30% to 50% reduction in manual geospatial review, freeing analysts to focus on the highest-risk sites.
20% to 40% reduction in response preparation time, reflecting quicker movement from warning to action.
Shape the conversation that turns climate data into resilient utility operations.
