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Not Sure What is Important (Part 3)

This article is part of a 5 part series covering some of ways to deal with the top challenges for IT Operations and how machine learning techniques can be applied to address them. Read more...

Stuck In Reactive Firefighting Mode? (Part 2)

This article is part of a 5 part series covering some of ways to deal with the top challenges for IT Operations and how machine learning techniques can be applied to address them. Read more...

Having Trouble Finding the Root Cause (Part 1)

This article is part of a 5 part series covering some of ways to deal with the top challenges for IT Operations and how machine learning techniques can be applied to address them. Read more...

The Search for a Silver Bullet. Again…

Every few years there is a new technology that takes the IT world by storm. Virtualization, cloud,IaaS/PaaS/SaaS, containers, microservices... Read more...

Two Gartner IT Market Clock Reports Give High Scores to IT Operations Analytics

Gartner released two new IT Market Clock reports, showing the critical role IT Operations Analytics. Read more...

Gartner Says Change-based Causal Analysis Makes Availability and Performance Data Actionable

A recent Gartner report addresses how increased availability and performance data volumes don't provide enterprises with sufficient actionable information. The report asserts that causal analysis  makes availability and performance data actionable, with change-based causal analysis holding the most promise for IT operations leaders. Read more...

Workflow - Data Collection Stage

As part of our series on applied machine learning workflow, we'll look at where data comes from, and how we make sense of huge collections of data. Read more...

Algorithm of the Week: Naive Bayes

Naïve Bayes classifier is able to predict a distribution over a set of outcomes and is a good approach for enabling enable IT Operations Analytics tools to check whether an event is expected or not. Read more...

Algorithm of the Week: Apriori

Apriori algorithm is used for frequent pattern mining and association rule learning over transactional databases and is a good approach for enabling IT Operations Analytics tools to detect frequent patterns, and identify critical changes. Read more...

Data and Problem Definition

As part of our series on applied machine learning workflow, we'll look at how to define your problem, and to specifically focus on what to fix for early and more efficient resolution of operational issues. Read more...