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Four Key Attributes of Advanced Anomaly Detection

AI anomaly detection is just one tool in an arsenal that Gartner now refers to as augmented analytics, but it’s among the most important. By providing real-time intelligence into both positive and negative anomalies, A Read more…

AIOps and the Kubernetes Revolution

Kubernetes has emerged as the defacto standard for container orchestration in the new cloud architecture. There's no doubt about it. But hidden from view in the race to K8s adoption is a new form of complexity that threa Read more…

Why IT Ops Has Become Such a Rich Target for Big Data Analytics

In the business world, we measure what we hope to impact. This leads companies to devise all sorts of metrics from a wide assortment of data. Increasingly, one of the most impactful pieces of data we're collecting -- and Read more…

Anodot Gains Patents for Anomaly Detection

Anodot, which focuses on using machine learning techniques to spot anomalies in time-series data, announced a pair of U.S. patent awards this week covering its autonomous analytics framework. The analytics vendor said Read more…

Waze App Gets Anodot Time-Series Upgrade

Anodot, which focuses on using machine learning techniques to spot anomalies in time-series data, said the crowdsourced traffic app Waze is using its real-time anomaly detection platform to improve app performance. Wa Read more…

Hidden Anomalies No Match for LivePerson’s Machine Learning Engine

LivePerson knows a thing or two about customer service. After all, the company runs the global chat and messaging infrastructure that connects 18,000 businesses like Citibank and Home Depot with millions of their own cus Read more…

5 Ways Analytics Drives Cyber Monday Sales

Today is expected to be the busiest online shopping day in history, with more than $6 billion changing electronic hands. So how are businesses poised to take advantage of all that spending? One big factor for retailers t Read more…

Inside Anodot’s Anomaly Detection System for Time-Series Data

Time-series data represents one of the most challenging data types for businesses and data scientists. The data sets are often very big, change continuously, and are time-sensitive by nature. One company that's carving a Read more…

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