Category: AI/ML Network Analytics
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How to implement AI/ML in Networking – 5 Key Considerations
AI/ML holds tremendous potential in making network operations more efficient. However, very few AI/ML implementations actually make it to production environments. The most common reasons for failed implementations are lack of clarity in problem definition, building or buying a solution that is ill suited for the problem at hand and not getting the team on…
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Evolution of Network Baselines – From Statistics to Machine Learning
In this blogpost, we talk about the benefits of having accurate baselines, metrics used, systematic approach to baselining the network and how complex networks can use Machine Learning to create dynamic baselines.
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The Art and Science of Network Anomaly Detection – Part 2
In this post, we will look at different network anomaly detection methods, challenges and implementations of anomaly detection.
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The Art and Science of Network Anomaly Detection – Part 1
In this post, we will attempt to define what network anomalies are, identify their causes and classify them using various criteria.
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Network Analytics – How to transition from Reactive to Proactive
In this post, we will look at different types of Network Analytics and how they can be used in network operations.