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Oracle AI Transforms Meter Data Management

By PR Newswire

PR Newswire
Overall Rating

Enhancements to the Oracle Utilities Customer Platform accelerate data processing speeds, cut operational costs, and improve utility customer service

AUSTIN, Texas, June 3, 2025 /PRNewswire/ -- New AI-powered anomaly detection and in-memory processing capabilities in the Oracle Utilities Customer Platform are helping deliver fast, accurate meter data management (MDM) and streamlining utility operations. These enhancements simplify work for employees and improve performance across the platform, which powers metering, operations and billing, sales and account management, customer service, and customer engagement in a single solution. For example, AI-enabled anomaly detection significantly reduces billing exceptions—minimizing manual work, truck rolls, and unnecessary operational costs. These new capabilities are available at no additional cost to customers.

Better data for better service

The expanding use of Advanced Metering Infrastructure (AMI) has resulted in an exponential increase in utility data, creating significant challenges in data processing, management, and accuracy. With rising customer expectations for service reliability and transparency, utilities need smarter, faster technology to handle that complexity and satisfy utility customers. The combination of embedded AI and a unified data framework in the Oracle Utilities Customer Platform allows utilities to leverage accurate metering data for informed decision-making. For example, organizations can benefit from faster resolution times and reduced exceptions through accurate data processing, leading to improved customer interactions and loyalty. 

Oracle benchmarks have shown vast improvements in anomaly detection and manual work reduction compared to traditional Validation Editing and Estimation (VEE) methods. Results achieved include:

  • A 63% reduction in false positive, high-usage VEE exceptions, leading to proactive management and resolution of issues before they escalate into significant problems
  • Approximately 70% faster meter data processing
  • 37% lower overall storage requirements—contributing to lower costs and simplified data management

"Globally, utilities have a multibillion-dollar opportunity to use AI to transform customer service and operations," said Paul McDonald, vice president of product for Oracle Utilities. "With system complexity, costs, and customer needs all growing, it's getting difficult and expensive for many utilities to keep up. We're helping utilities tackle these challenges in ways just now becoming possible. By bringing AI and in-memory meter data processing into the Oracle Utilities Customer Platform, we're helping our clients streamline operations, cut costs, and deliver a more satisfying customer experience."

Learn more about additional AI capabilities in the Oracle Utilities Customer Platform here and by visiting Oracle.com/utilities or LinkedIn.

About Oracle

Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit us at oracle.com.

Trademarks

Oracle, Java, MySQL, and NetSuite are registered trademarks of Oracle Corporation. NetSuite was the first cloud company—ushering in the new era of cloud computing.

View original content to download multimedia:https://www.prnewswire.com/news-releases/oracle-ai-transforms-meter-data-management-302471358.html

SOURCE Oracle

Frequently Asked Questions

What is the Oracle Utilities Customer Platform?

It's a single solution powering metering, operations, billing, sales, account management, customer service, and customer engagement for utilities.

How does AI improve meter data management?

AI-enabled anomaly detection significantly reduces billing exceptions, minimizing manual work and unnecessary operational costs.

What are the benefits of using the Oracle Utilities Customer Platform?

It streamlines operations, cuts costs, and delivers a more satisfying customer experience by leveraging accurate metering data for informed decision-making.

First published on Wed, Jun 4, 2025

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