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Anodot Blog Page 30

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Business glitch, disaster, business loss, revenue loss, business crisis, revenue drop, damage
Blog Post 6 min read

4 Business Disasters That Could Have Been Avoided With Real-Time Anomaly Detection

Companies that implement real-time anomaly detection can stay ahead of glitches, bugs and downtime. These four companies could have avoided serious business disasters if they had done the same.
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Blog Post, Anodot, AngularJS, React, Migration
Blog Post 4 min read

Migrating AngularJS to React and Keeping it Sane

We decided to migrate from AngularJS to React. Lead client app developer Menny Rachmanny walks you through the process.
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Blog Post 5 min read

3 Ways Malcolm Gladwell’s 'Outliers' Anticipated the Value of Real-Time Anomaly Detection

At Anodot, we’ve also made it our mission to spot outliers, albeit of the data variety. How then might some of Gladwell’s insights apply to the field of anomaly detection?
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Blog Post 5 min read

We're Rebranding Anodot - Here's Why

As we introduce forecasting and expanded capabilities, there’s clearly a need to update our tagline and the rest of our brand. We are no longer simply “the anomaly detection company”.
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Blog Post 5 min read

How AI/ML Helps Retailers Keep 3 Promises This Holiday Season?

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.
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Blog Post 7 min read

A Small Leak Can Sink a Great Ship: Proactive Monitoring Keeps You Afloat

Small and slow leaks sink ships - by analogy, slow and small leaks can also cause significant losses for any business if not detected and fixed early.
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Blog Post 6 min read

Metrics At Scale: Using Correlation Analysis to Find Data Insights (Part 3)

In the final part of the "Metrics At Scale" series, we look at normal and abnormal behavior similarities, getting a sparse or lower dimensional vector representation, and creating a pattern matching engine.
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Blog Post 5 min read

You Can Improve Your Customer Satisfaction Charlie Brown!

The increasingly agile, data-driven approach to development, parsing user data and releasing new versions regularly, has left many in data operations at a loss. So how do you identify unknown unknowns happening right under your nose?
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Blog Post 5 min read

Metrics At Scale: How to Scale and Manage Millions of Metrics (Part 2)

In part two of the "Metrics At Scale" series, we look at the challenges of managing metrics at scale and show how to bring order to this pressing situation.
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