Amazon Web Services
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A Amazon Web Services Case Study
GE Power, a global leader in power-generation technology and services, needed to scale its Predix analytics platform to handle rapidly growing IoT sensor data and lower monitoring latency. Its on‑premises infrastructure struggled as data grew from gigabytes to terabytes, making timely alerts and proactive maintenance difficult for customers.
By migrating Predix to AWS and using Amazon Kinesis Data Streams, Amazon EMR, and Amazon S3, GE Power now streams 500,000 records per second and ingests about 20 billion sensor records per day, running over a million data executions daily. The cloud solution delivers real-time alerts and faster analysis—shrinking resolution times from weeks or months to days—helping customers avoid forced outages, minimize downtime, and save millions of dollars while enabling future AI and machine‑learning use cases.
Eric Pool
Director of Data and Analytics Infrastructure