Smarter Root Cause Analysis: Determining Causality from your ITSI KPIs
Root cause analysis can be a difficult challenge when you are troubleshooting complex IT systems. In this blog, we are going to take you through how you can perform root cause analysis on your IT Service Intelligence (ITSI) episodes using machine learning, or more specifically causal inference.
Smarter ITSI Episodes Powered by Community Detection Algorithms
In this blog we are going to describe how you can create a notable event policy in IT Service Intelligence (ITSI) that is able to group your events using labels generated by unsupervised machine learning in the Smart ITSI Insights App for Splunk – and don’t worry you don’t have to be a data scientist to read this blog!
Making Smarter Predictions in ITSI
As we are trying to commoditize machine learning through our MLTK smart workflows, this article outlines another example of an MLTK smart workflow, designed to help improve the usability of the predictive capabilities in ITSI.
Causal Inference: Determining Influence in Messy Data
In this blog, we’re going to look at how causal inference can be used to understand in more detail what the biggest influencing factors are across a dataset.
Smart Education Insights App for Splunk – Part II
In this blog, we will describe how to apply feature engineering to some example datasets taken from higher education organisations, which can then be used to generate predictive models in the Smart Education Insights app.
Smart Education Insights App for Splunk – Part I
This blog outlines how we have turned our #EUvsVirus project into reality with the new Smart Education Insights App for Splunk.
