High expectations for Advanced Anomaly Detection

Expectations are High for Advanced Anomaly Detection

Recently Gartner released their latest Hype Cycle report for Data Science and Machine Learning, advising Data and analytics leaders to use this report to better understand the data science and machine learning landscape and evaluate their current capabilities and technology adoption prospects. The report states that “to succeed with data and analytics initiatives, enterprises must…

Outliers analysis: a quick guide to the different types of outliers

Success in business hinges on making the right decisions at the right time. You can only make smart decisions, however, if you also have the insights you need at the right time. When the right time is right now, outlier detection can help you chart a better course for your company as storms approach –…

How to find, calculate, and determine outliers in your data?

In our previous post, we discussed what data outliers are and why they are important to your business. Outliers can indicate both problems and opportunities, both of which need to be addressed quickly in order to either grow revenue or lessen losses. In this post, we’ll discuss how automated detection systems actually detect those outliers.…

Anomaly detection necessities by industry: glitches happen to companies everywhere

Nipping it in the Bud: How real-time anomaly detection can prevent e-commerce glitches from becoming disasters

#GlitchHappens. That’s an unavoidable consequence of the scale and speed of ecommerce today, especially when lines of code set and change prices in seconds. Unavoidable, however, doesn’t have to mean catastrophic, especially if a real-time anomaly detection system is deployed. In two real-world glitch incidents, we’ll see the cost of not employing real-time automated anomaly…