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A Picture is Worth a Thousand Logs
Splunk can be used to ingest machine-learning service information from services like AWS recognition, what does that look like and how can you set it up?

Bringing You Context-Driven, In-Product Guidance
Splunk is providing in-product guidance right at your fingertips to help you accomplish your goals without navigating away from the product. Learn more in this blog post.

Splunk AR: HoloLens and Unity SDK
Get a sneak peek on two private beta products — AR app for HoloLens, a solution for a hands-free experience, and a Splunk SDK to allow you to securely incorporate Splunk data into your custom apps.

Threat Hunting With ML: Another Reason to SMLE
This blog is the first in a mini-series of blogs where we aim to explore and share various aspects of our security team’s mindset and learnings. In this post, we will introduce you to how our own security and threat research team develops the latest security detections using ML.

Creating a Fraud Risk Scoring Model Leveraging Data Pipelines and Machine Learning with Splunk
One of the new necessities we came across several times was that the clients were willing to get a sport bets fraud risk scoring model to be able to quickly detect fraud. For that purpose, I designed a data pipeline to create a sport bets fraud risk scoring model based on anomaly detection algorithms built with Probability Density Function powered by Splunk’s Machine Learning Toolkit.

Levelling up your ITSI Deployment using Machine Learning
To help our customers extract the most value from their IT Service Intelligence (ITSI) deployments, Splunker Greg Ainslie-Malik created this blog series. Here he presents a number of techniques that have been used to get the most out of ITSI using machine learning.

Smarter Noise Reduction in ITSI
How can you use statistical analysis to identify whether you have an unusual number of events, and how can similar techniques be applied to non-numeric data to see if descriptions and sourcetype combinations appear unusual? Read all about it in this blog.

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!