While managing tens of thousands of affiliates producing millions of pieces of content, this adtech company found it difficult to monitor the business and technical incidents that impact their bottom line. See how Autonomous Analytics changed the way they work.

With millions of users across dozens of household-name and professional publications, PMC’s data science team needed a better way to track business incidents than Google Analytics’ alerting function. Read the case study to see how Umbrella helped PMC identify positive business insights and use it to make editorial decisions.

Our customer success team offers a brief introduction to machine learning anomaly detection for monitoring your partner networks and affiliate programs. In addition to actual customer alerts, we show the ROI they've seen with early incident detection.

See how Rubicon is using Umbrella to easily monitor all of their data in real time, enabling a fair and healthy ad marketplace.

Previous monitoring tools that Netseer used provided singular elements of detection and reporting that needed to be patched together to get the information they needed. See how Umbrella helped create a comprehensive, integrated solution.

Read the case study to see how Uprise used Umbrella to avoid major problems such as server outages.

In this session at White Hall's BDA conference, AppNexus VP of Engineering Travis Johnson discusses how the company uses Umbrella’s AI Analytics for insights about unknown unknowns, to confidently and proactively address incidents quickly.

Learn how Umbrella helped Eyeview's engineering team and executives achieve access to the system’s precise status at any given moment and to identify abnormal behaviors as quickly as possible.

Learn how leading adtech companies -- including Rubicon Project, Uprise and NetSeer -- are leveraging the power of machine learning to find outliers in time series data and turn them into valuable business insights.