AWS, an
Telecom organizations use business intelligence (BI) tools to monitor key performance indicators (KPIs) that indicate whether their business functions are running smoothly, however, identifying operational issues can get cumbersome and challenging. Anomaly detection is often a manual process that may lead to false alarms or missed flags, meaning it can take weeks for businesses to accurately determine root causes.
Using the same machine learning technology behind Amazon, Lookout for Metrics automatically inspects factors contributing to business health, such as revenue, web page views, active users, transaction volume, and mobile app installations, while using machine learning algorithms to detect anomalies, like changes in customer behavior, diagnosing root causes with greater speed and accuracy.
Lookout for Metrics requires no previous machine learning expertise and is available directly via the AWS console. Customers can connect
Swami Sivasubramanian, Vice President of Amazon Machine Learning for AWS
From marketing and sales to telecom and gaming, customers in all industries have KPIs that they need to be able to monitor for potential spikes, dips, and other anomalies outside of normal bounds across their business functions.