Introduction
AI has potential in creating value in terms of enhanced workload availability and improved performance and efficiency for NFV usecases. This work aims to build Machine-Learning models that can be used by Telcos. Each of these models aims to solve single problem within a single category. For example, the first category we have chosen is Failure prediction, and we aim to create 4 models - failure prediction of VMs, Containers/Pods, Nodes, and Applications.
Approach
Decision Driven Data Analytics.
https://mitsloan.mit.edu/ideas-made-to-matter/decisions-not-data-should-drive-analytics-programs
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PTL
Sridhar K. N. Rao (Sridhar Rao)
Intern
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Volunteers
In discussion: 4 CS/Math Students.
Meeting Details
Topic: AI/ML for NFV
Time: 13:00 Universal Time UTC
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