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The past, present, and future of AIOps with Dr. Helen Gu, CTO and Founder of InsightFinder

The past, present, and future of AIOps with Dr. Helen Gu, CTO and Founder of InsightFinder

AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders

November 29, 202046m 20s

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Show Notes

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In this special episode with Dr. Helen Gu, author or co-author of 80+ academic papers on distributed computing and AI for systems management, we discuss the past, present, and future of AI for IT Operations.

Listen and learn...

  1. How and why the technology behind common problems like image recognition fails when applied to machine data
  2. Where Helen and her team were nine years ahead of Amazon
  3. Why unsupervised machine learning is required to predict and prevent system downtime
  4. Why machine learning is well-suited to anomaly detection for machine data
  5. The next technology breakthrough that will eliminate sleepless nights for developers

Research papers referenced on today's episode:

  1. Helen's 10-year Symposium on Cloud Computing award about elastic resource scaling
  2. Fixing the hang bug problem


Topics

Artificial intelligencemachine learningInsightFindermachine dataAIOpsIT Operationsautomationfuture of technology
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