“Even with our massive dataflow, Anodot has proven it can seamlessly correlate data across millions of real-time streaming metrics - alerting us immediately so we can react instantly.”

In the first part of our "Metrics At Scale" series, we start by examining multivariate anomalies and why correlation is key to root cause investigation.

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.

Get out of "Memento" mode and don’t be left guessing what’s happening with your business’ key data.

Hear how Lyft and other data-driven organizations benefit from uncovering hidden insights in real time with AI solutions. Listen to: Kris Skrinak, AWS Partner Solutions Architect, AI/ML Global Segment Lead, A Ira Cohen, Chief Data Scientist and Co-Founder at Anodot, Gleb Mezhanskiy, Product Manager, Data, Lyft

Yes, "Star Wars:, the classic space opera full of mystical intrigue and epic power struggles. Yet, at the center of the movie, data plays a critical role.

Join our webinar from the Amazon Partner Series to hear how Lyft and other data-driven organizations benefit from uncovering hidden insights in real time with AI solutions from Amazon Web Services (AWS) and Anodot.

See how Foursquare used Anodot to shift from a manual, reactive process to automated, proactive application services management.

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