This deck was presented at Great WIde Open event in Atlanta and describes the vision, approach and toolset in ML that can ultimately deliver the self-driving dacenter.
24. What is the problem? Why Conventional
Tools Can’s Solve It?
• Understanding of Data Semantics because:
• Data is Big
• Data is complex
• Data is high-dimensional (with a lot of interrelationships and interplay)
• Data is features rich
• individual measurable property of a phenomenon being observed (examples of the
data features: latencies, IOPS, etc.)
• Solution required different type of tool
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25. What if there was a solution?
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