Roy Ben-Alta, solution architect and principal business development manager at Amazon Web Services, and Anodot’s Chief Data Scientist Dr. Ira Cohen present various design patterns and share a solution implemented using Amazon Kinesis as a real-time event data processing pipeline that feeds Anodot’s AI-based analytics service, discovering and alerting on the anomalies in the data in real time and helping you avoid costly business incidents.

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.

Find out how Anodot is helping Credit Karma quickly identify abnormal behavior in their time series data and locate the root cause, so that it can be resolved before business suffers and revenue is lost.

Credit Karma shares the benefits of using Anodot to easily track data, get real-time alerts and altogether promote a fair and healthy business monitoring.

How does eToro stay on top with so much changing and vital data to be aware of? We visited their headquarters and met with Elad Gotfrid, eToro’s Director of IT, who shared their approach for handling the company’s data.

The Production Services team at leading fintech Payoneer uses Anodot Autonomous Detection integrated with the Coralogix Log Analysis Platform to accurately identify system issues with real-time alerts and to accelerate remediation time.

"Anodot is a game-changer. It connects the dots all together quickly, in a single email. We've reduced the number of false positives to almost zero."

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