Learn how AI and machine learning are enabling critical capabilities, such as real-time anomaly detection and forecasting, to meet rising challenges in the telecom market.

Learn why revenue monitoring is different to other types of monitoring, such as IT and App Performance. Only AI-based real-time revenue monitoring can ensure watertight revenue protection for your business.

There's a growing disconnect between the capabilities businesses need from their analytics and what traditional tools actually provide. Compared with AI-based anomaly detection, dashboards, reports and static thresholds can prolong time to detection and time to resolution in several key ways.

Business monitoring is machine learning-based analytics built to bulletproof your revenue, remedy urgent problems faster, and capitalize on opportunities sooner.

In the first post of our three-part series on "Why anomaly detection is a business essential," we’re going to take a look at what constitutes an anomaly, what anomaly detection is, and how it could have a huge impact on business success.

Peer into the future - no crystal ball needed. Industry-leading chief data scientists Ben Lorica, Arun Kejariwal and Ira Cohen sit down to discuss the challenges and benefits involved in times series forecasting. Part 1 begins with an introduction to forecasting.

Peer into the future - no crystal ball needed. In this 3-part series, industry-leading chief data scientists Ben Lorica, Arun Kejariwal and Ira Cohen sit down to discuss the challenges and benefits involved in times series forecasting. Part 1 begins with an introduction to forecasting.

The global data supply reached 4.4 ZB in 2013 - or 4.4 trillion GB - but less than five percent of that data was used for analysis, according to a study by the IDC.

Peer into the future - no crystal ball needed. In this 3-part series, industry-leading chief data scientists Ben Lorica, Arun Kejariwal and Ira Cohen sit down to discuss the challenges and benefits involved in times series forecasting. Part 2 explores forecasting techniques.