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Federal agencies are adopting a more modern, digital-centered approach in everything they do and exposing critical problems in the modernization journey.
Latest Articles
Defense Information Systems Agency Data Strategy Implementation Plan: Advanced Analytics
Get a closer look into the Defense Information Systems Agency’s (DISA) Data Strategy Implementation Plan, which calls for a focus on advanced data analytics among its line of efforts.
Bringing Splunk GovSummit Back to the Nation’s Capital
Splunk GovSummit is returning in-person to Washington D.C. on Wednesday, December 14. Get ready to learn how Splunk is helping the Public Sector build the cyber resilience they need to execute their most critical missions.
Online Learning: a Novel Approach to Applying Machine Learning in Splunk
In this blog, we’ll review how you can organize your machine learning model in a new way: online learning.
Announcing the Completed Deployment of Splunk Cloud Platform by U.S. DoD Customers
Splunk is proud to share that U.S. Department of Defense (DoD) customers are now online and actively using Splunk Cloud Platform at Impact Level 5 (IL5).
IoT, Cybersecurity and Sustainability - Friends for Life
Splunk, SVA and HiveMQ have teamed up to demonstrate the friendship of IoT, Cybersecurity and Sustainability with a real-life example of a Connected Car Platform. The Result: Cool Splunk dashboards and happy Automotive customers! To find out more, read on.
Defense Department’s Multi-Cloud Cloud Strategy: A Role for SIEM
Senate and House Armed Services Committees encourage the Defense Department to implement enabling technology in the cloud.
Harmonizing the Federal Effort on Automating Software Bill of Materials
E.O. 14028 issued guidance to enhance the nation’s software supply chain security, to include the approaching requirement of an SBOM within federal acquisitions.
Detecting Financial Crime .conf22 Session
Check out a recap of the Detecting Modern Financial Crime in-person session at .conf22.
Machine Learning To Predict Drug Effectiveness
This blog describes a simple ML method to predict whether a drug is effective (does its job) based on the features and time series data provided.
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