
IBM's personalized AI-based anomaly detection solution helps energy and utilities companies identify abnormal consumption patterns for individual devices and calculate ESG metrics to improve energy efficiency and sustainability.


<div><p>This article describes IBM's personalized AI-based anomaly detection solution for energy and utilities companies built on AWS services.</p><ul><li>Detects abnormal energy consumption patterns using entity-specific AI models</li><li>Calculates environmental ESG metrics to measure energy efficiency</li><li>Uses AWS Glue for ETL, S3 for storage, and SageMaker for ML model deployment</li><li>Integrates with existing IoT platforms and smart metering solutions</li><li>Provides business dashboard via Amazon QuickSight for visualization</li><li>Supports custom AI models and ESG metric modules for extensibility</li></ul><p>IBM's solution helps energy companies optimize consumption, improve sustainability reporting, and increase operational efficiency through personalized anomaly detection.</p></div>


Related articles