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Friday, September 25 • 16:20 - 17:05
Data Science with Red Hat Insights

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Red Hat Insights is a predictive analysis tool for RHEL environments. It collects system configuration and logging data to find vulnerabilities using predefined rules. From a data science perspective, we are interested in the question of how we can automate rule development and system data analysis. In particular, I will talk about two projects: SAP data analysis and drift baseline suggestions. In the first project, we investigate data collected from users running SAP workloads. We leverage open source Business Intelligence dashboard, Superset, to visualize the relationship between user’s physical systems and SAP workloads running on them.
In the second project, we look at all the systems in a user’s Insights account and recommend a standard system or a baseline. We use unsupervised machine learning methods to find central systems based on their hardware and software configurations. These baselines can then be used to troubleshoot operational issues and standardize configurations across systems.
This talk will introduce the Insights data from an AI/ML perspective. You will learn about manipulating system data and dealing with common challenges faced in the process.

avatar for Shrey Anand

Shrey Anand

Data Scientist, Red Hat, Inc.
Shrey Anand is a data scientist with the AI Center of Excellence team at Red Hat. He's interested in defining and solving problems with system configuration data.

Friday September 25, 2020 16:20 - 17:05 EDT
Mighty Mighty Bosstones Virtual