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 2. award about elastic resource scaling Fixing the hang bug problem
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 2. award about elastic resource scaling Fixing the hang bug problem
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