Transformational Analytics in Utilities

Discovery in Utilities

Utility leaders are adopting AI analytics to decarbonize, decentralize, and digitize, while their proactive decision-making transforms the way they improve customer service, mitigate environmental risks, and reduce operational costs.

Empower customers to reduce energy costs

Optimize the self-service customer experience across channels and devices with detailed usage info, customized energy-saving tips, and personalized prompt alerts.

Cut grid downtime, maximize uptime

Ensure optimal value from your assets by using root-cause detection to predict leaks and outages, prioritize engineering team deployment and mitigate environmental risks.

Predict anomalies and malfunctions before they happen

Use auto-monitoring of infrastructure and equipment to minimize asset failure, and plan for new and fluctuating consumption patterns by identifying customer microsegments.

Secure your assets from breach, theft and fraud

Proactively identify, prioritize, and block potential grid threats by detecting physical and informational breaches and correlating unusual customer patterns.

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Applications for Discovery in Utilities

Fraud

Analyze anomalies and subtle signals in large amounts of data to identify criminal activity.

Customer retention

Accurately identify customers at the highest risk of lapse for effective, personalized retention campaigns.

Location Optimization

Pinpoint the best locations to yield the most optimal customer experience and business results.

Cross-sell and upsell

Use granular customer insights to accurately predict the most effective product or service.

Operational efficiency

Analyze operational management — supply chain, logistics, field — and determine new factors that affect performance.

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Generative AI for data analytics: the future of enterprise sense-making

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