Analytics in Utilities Industry

Smart sensors, smart meters, and IoT technologies now generate unprecedented volumes of data. HEAVY.AI rapidly processes this utility data and allows users to visualize and interact with all of it at once, to maximize uptime, minimize costs, and keep customers happy.

  • One household smart meter can generate up to 400mb per year
  • There are 135 million smart meters in the US
  • There will be an estimated 7 trillion connected sensors by 2025

Harness the Power of Big Data Analytics in Utilities Industry

Download this essential ebook to learn more about data analytics in the utility industry

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The Solution for Real-Time Utility Analytics

HEAVY.AI provides real-time interactivity at scale for utility providers, all on an intuitive, customizable dashboard. Monitor asset performance in real-time, track resource use, and cross-filter by time of day or week. Drill into hundreds of millions of smart meter and smart sensor data points for unparalleled insights and cost savings.

  • Avoid expensive spot market pricing through real-time energy demand forecasting
  • Reduce fraud and leakage through real-time insights on consumptions patterns and anomalies
  • Ensure assets are operating at peak efficiency, reduce the risk of failure and downtime through preventative maintenance using predictive big data analytics for utilities.

"[HEAVY.AI]… was the world’s first to create basically a database engine on top of GPUs… it’s just completely amazing, to be able to access databases so large completely in-memory and be able to interact with it, create graphs out of it, query it with AI, visualize it, all in real time. Completely revolutionary stuff".

Jensen Huang
CEO, NVIDIA

HEAVY.AI Use Case Demo: Vegetation Management for Utilities

Analytics in Utilities Industry

Use Cases

Big Data Solutions for Utilities Industry

The HEAVY.AI SQL engine rapidly executes queries and enables rendering, visualization, and interactive exploration of billions of data points streaming from smart meters and sensors between utility assets and edge users.

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