AIOps is becoming imperative to the management of today’s complex IT systems and their ability to support changing business conditions. This slide explains the role that AIOps can and will play in the enterprise of the future, how the scope of AIOps platforms will expand, and what new functionality may be deployed.
Watch the webinar here. https://www.moogsoft.com/resources/aiops/webinar/aiops-the-next-five-years
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What is AI?
The reverse engineering of cognitive algorithms deployed by the brain
with the goal of observing, understanding, and manipulating complexly
structured and dynamic environments.
Why? - because traditional programming techniques are pretty rubbish at
dealing with highly complex and dynamic environments!
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What is AIOps?
The application of AI-based algorithms to IT operations use cases with
the goal of reducing MTTR and, by iteratively increasing the quality of
resolutions, MTBO.
We use don’t use AI because it’s cool. We use it because it is necessary!
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The Three Dimensions of AI
Problem Selection/Action
Pattern Discovery
Inference
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Situation
Room
Situation
Similarity
Collaboration
Learning
Causality
Probable
Root-Cause
Vertex
Entropy
Correlation
ABC
Topology
Text
Time
1010100
1010010
0100110
0010101
<f(x),x1> <g(x),x1>
INFORMATION
RICH
DATA
STREAM
CLUSTERS SITUATIONS
Entropy
Analysis
Metrics
AIOps In Action
TOPOLOGICAL
GRAPH
DATA
Dimension 3Dimension 1Dimension 2Dimension 3
Logs
Events