DAY 2, OCTOBER 19
16:00 - 16:45
ABOUT THE SPEAKER
Aleksandr Vystoropskyi is a Customer Delivery Architect and is part of the CX organization in Cisco. He has been with Cisco for >13 years and has more than 17 years of experience in IP/MPLS related fields and 20 years in telecommunications.
Over the years Aleksandr has lead the different network implementation and optimization projects in the EMEAR and AJP regions with complex assessments, designing and building MPLS Core, Mobile Backhaul, and Carrier Ethernet networks, recently focused on advanced network analytics and reliability areas.
Aleksandr holds an M.Sc. in Telecommunication Engineering and Technologies from Dnipro National University, Department of Physics, Electronics, and Computer Systems.
The current area of interests is network automation, resiliency analysis, telemetry processing/analytics with machine learning / deep learning algorithms.
He holds CCIE for R&S and Service Provider tracks (CCIE#16097) and JNCIP-SP
Aleksandr is based in Kyiv, Ukraine.
Speech: How ML is boosting automation across a network
With growing market demands, 5G evolution and latest advances in network platform architectures, the massive generation of a vast amount of data in Service Provider's (SP) networks is so enormous that it has become almost impossible for engineers in operations to understand, properly prioritize and correlate patterns in millions of events and sensor measurements. Today’s SPs have to invest a lot of efforts and resource in the optimization of the operational support services, so it becomes important to timely detect different hidden insights and patterns within the complex network networks and predict issues before they happen, or even trigger automatic remediation with a closed-loop control system. In this session, we discuss drivers, existing challenges as well as different use-cases for predictive analytics in complex SP network operations.