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.

Corey Gilmore, Director of Data and Analytics at PMC, a large publishing company, presents how they identify anomalies in their Google Analytics using Umbrella.

Greg Pendler of Netseer presents how his Adtech company is using Umbrella to identify anomalies in real time, to keep their business working efficiently.

As a leading adtech company, Netseer provides publishers with targeted ads, and bidding on advertising exchanges. Umbrella provides real-time business insights to quickly identify performance issues.

With millions of users across dozens of professional publications, PMC’s data science team uses Umbrella to track business incidents and identify software bugs early, before small issues turn into major crises.

With massive amounts of business-critical data and metrics, Eyeview recognized the need to improve its alerting method. Umbrella AI-powered analytics crunches Eyeview’s data streams in real-time, providing accurate alerts on critical issues.

Wix needed a real-time alert system that would indicate issues without manual threshold settings in the key metrics. Umbrella's AI-powered analytics provides the necessary insights to the company’s analysts.

Credit Karma researches and recommends credit cards, loans and insurance for credit profiles of more than 50 million members’ finances. In real time, Umbrella identifies relevant and actionable incidents every day, so the team can deal with them quickly and appropriately.

One of the largest ad exchanges in the world, Rubicon Project uses proprietary computing systems to automate the buying and selling of advertising. With Umbrella's correlated metrics, Rubicon can quickly pinpoint where to investigate.