Multimodal Asset Intelligence
Utilities are shifting from isolated digital initiatives toward operating models where assets, information, people and external ecosystems must work together in near real time. As previously centralized or manual capabilities become distributed and increasingly intelligent, utilities need architectures that place relevant intelligence close to operational decisions without sacrificing interoperability, cyber resilience or human accountability
Multimodal asset intelligence strengthens how utilities interpret physical conditions and coordinate action across complex asset environments.
Improve the ability to identify developing risks sooner and provide teams with better context for timely operational action.
Lower dependence on manual inspection and coordination activities across remote, critical and complex utility infrastructure.
Support more consistent monitoring and maintenance decisions that contribute to reliable asset performance and operational continuity.
Bring relevant operational information into workflows so teams can respond with greater context and reduce fragmented decision-making.
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Connect authorized asset, operational and enterprise information sources required to create a richer view of utility conditions.
Organize information around assets and processes so analytics and intelligence can interpret conditions within relevant operational context.
Combine Physical AI, computer vision, robotics, IoT, Edge AI and digital twins at appropriate points across the architecture.
Integrate outputs with existing enterprise and operational technology workflows instead of introducing a separate technology layer.
Establish permissions, cyber controls, validation, fallback mechanisms and human oversight, then scale controlled use cases using measurable operational KPIs.
Indicative objectives vary according to baseline performance, infrastructure characteristics, process maturity and deployment scope, providing measurable targets for progressively integrated utility operations.
Operational cycle time can decrease by 20% to 40%, supporting faster movement from asset information to inspection, assessment and operational action.
Manual workload can decrease by 20% to 40%, reducing the effort required to inspect assets and coordinate activities across operational environments.
Decision and response time can decrease by 15% to 30%, helping teams act sooner when asset conditions or anomalies require attention.
Significant improvement in operational visibility can give utility teams stronger context across assets, information sources, platforms and frontline operational workflows.
Work with NTT DATA to connect asset information, distributed intelligence and operational workflows through a controlled, measurable approach to utility modernization.
