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Iguazio listed as Sample Vendor in Five 2021 Gartner Hype Cycles

Data Science for Energy and Utilities

Energy and utility companies power our daily lives. AI is the fuel transforming this sector by optimizing asset usage and energy supply, preventing outages, and enabling a customer-centric focus to increase revenues. Energy and utilities operate in the data-rich environments of customer and sensor data which can be leveraged using AI to deliver insights and data services and transform the way they do business.

Optimize Critical Infrastructure and Deliver Personalized Services with Data Science

The Iguazio Data Science Platform for Energy and Utilities enables companies to develop, deploy and manage AI applications, transforming AI projects into real-world business outcomes.  With Iguazio, organizations can build and run AI models in real time, deploy them anywhere (multi-cloud, VPC or on-prem), and bring to life their most ambitious data-driven strategies to optimize operations.

Mitigate Risk

Predictive maintenance

Detect service interruptions, energy supply issues, asset malfunction or other complications before they occur and take smart actions in real time to prevent them.

Energy Theft Prevention

Predict and prevent energy piracy by leveraging advanced metering infrastructure (AMI) data and reacting in real time. Track user behavior and flag suspicious discrepancies between billing and usage data.

Demand Response Management

Monitor energy use, adjust energy flow to the current demand rates, and encourage consumers to use energy at a specific times, to achieve the optimal balance in energy provision.

Personalize Services

Customer Engagement

Deeply understand how consumers use energy on an appliance level, and build customer relationships with highly personalized communications.

Data Science For Financial Services
Data Science For Financial Services

Energy Case Study: Real-time Monitoring and Operations

This energy services enterprise with over $20B in annual revenue protects mission-critical machinery deployed in over 120 countries worldwide. Improving asset reliability, implementing remote operations and monitoring, improving efficiencies, and managing threats are major areas of focus for their 100,000-plus systems installed globally. With the Iguazio Data Science and MLOps Platform, they were able to integrate with existing infrastructure and add complex functionality to existing applications. The energy solutions firm was able to move from their batch processes to large-scale real-time monitoring, and create multi-tenancy production-ready models for their various equipment types, utilizing the online feature store for real-time inferencing.

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Data Science Platform Documentation

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