IT operations are important techniques for ensuring our increasingly digitalized world run reliably, efficiently and safely, yet current IT Operations are labor-intensive, very stressful, and ineffective. In this talk, I will first explain why AI is necessary for IT Operations. I will then present a suite of unsupervised anomaly detection algorithms for time series, log, and trace data, followed by the lessons learned. I will conclude my talk by envisioning that future IT Operations will become more and more autonomous, which will enable an even better digitalized world.

Dr. Dan Pei is an Associate Professor in the Computer Science Department at Tsinghua University in Beijing, China. Before joining Tsinghua University in 2012, Dr. Pei was a Principal Member of Technical Staff – Research at AT&T Research in the U.S. He received his Ph.D. degree (with honor) from UCLA in 2005. His current research interests are in AIOps (Artificial Intelligence for IT Operations). He is an ACM Senior Member and an IEEE Senior Member.