CCS Insight recently worked with Splunk to produce a practical guide to help decision-makers within operators seize opportunities afforded by data analytics. The report highlights major demand trends, challenges, solutions and paths to implementation, and hope it will steer operators to become the data-driven businesses they need to be in the post-Covid-19 economy.

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.

We're thrilled to announce that Splunk was named a “Best Place to Work for LGBTQ Equality” after receiving the top score of 100 on the Human Rights Campaign Foundation’s 2021 Corporate Equality Index, a top benchmarking survey that measures and reports on corporate policies and practices for LGBTQ+ employees.

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!

Today, we are excited to announce the release of the AWS Distro for OpenTelemetry with full Splunk Observability support! The AWS Distro for OpenTelemetry allows customers to capture metadata from AWS resources and managed services to correlate application performance data with underlying infrastructure data.

With the release of Splunk Phantom 4.10.1, we now allow you to configure the number of playbook runners using Python 2 and Python 3. Learn more right here.

Using Splunk for link analysis - part 2 covering visualizations of linked data.

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.

In this blog post, we’ll explore an ML-powered solution using the Splunk Machine Learning Environment to detect fraudulent credit card transactions in real time. Using out-of-the-box Splunk capabilities, we’ll walk you through how to ingest and transform log data, train a predictive model using open source algorithms, and predict fraud in real-time against transaction events.