Anodot VP Product and Marketing Amit Levi discusses the next wave of data analytics and how AI/ML is allowing companies to scale their event monitoring and anomaly detection.

Continuous, accurate measurement of your primary KPIs is only half of the battle. The other half is turning all that data into actionable insights. Self-service BI is making it easier than ever.

Duplicated files. Missing data. Learn how anomaly detection can save your ITOps teams embarrassing setbacks.

We pitted Google Analytics against Anodot's anomaly detection. When it came to the underlying AI and the ability to cut time to resolution, there was a clear winner.

Getting the algorithms right is only part of what you need for successful AI implementation.

There’s a lot of confusion surrounding the differences between structured and unstructured data. To better understand why, let’s review which data formats the industry currently is using, and some of the challenges they pose.

Browsi manages half a billion events - DAILY. In the fast-paced world of adtech, even small glitches can quickly cost tens of thousands of dollars.

While enterprise leaders are constantly looking to innovate, there’s one area where “business as usual” should be a focus — spotting anomalies in your data.

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.