What does machine learning have to do with network visibility?
Telemetry Now · Phil Gervasi
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About this episode
<p>Is data science, and specifically machine learning, just network industry marketecture, or do the process and workflows of ML actually solve real problems for network engineers working in the trenches? In this episode of Telemetry Now, Estefan Ortiz, Ph.D., joins us to talk about what ML has to do with network visibility and the truth of what it can do to solve real problems in networking. </p><p><br></p><p><strong>Key Takeaways</strong></p><ul><li>[00:39 - 03:10] Introduction to Estefan Ortiz</li><li>[03:15 - 04:27] The definition of data science</li><li>[04:30 - 06:38] Why the rise in discussions about data science across industries?</li><li>[06:39 - 09:52] A desire to solve networking problems in new ways, and how data and the types we use can help</li><li>[09:53 - 10:38] Machine learning, applied statistics, and figuring out the problem you're trying to solve</li><li>[10:57 - 13:41] Is this a solution looking for a problem, and solving for time series data</li><li>[13:41 - 17:16] Detecting patterns in problem solving, actionable insights tied to operational data</li><li>[17:16 - 18:57] An iterative approach to problem solving with different processes and trial and error</li></ul><p><br></p><p><br></p>