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Cut Troubleshooting Time in Half

White Paper

How To Cut Troubleshooting Time in Half

The goal when indeni first started was to find a solution for a problem that has plagued network operations teams around the globe – things breaking.

While network leaders and administrators have a pretty good view into what is currently broken, they have no insight into what will break in the future. Not only do they not know what will break but they also don’t know why it will break and how to avoid that from happening. In order to address this problem, indeni combines machine learning and crowd sourcing to put knowledge front and center. 

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