Tuesday, March 10, 2020
2:00 PM -
Rene Schmogrow, Google, USA
With the advent of powerful compute infrastructure, machine learning has become hugely popular, including but not limited to the field of optical communication and networking. Machine learning in this context may be applied to enhance network monitoring and troubleshooting as well as optimization and anomaly detection.
In this session we ask network operators as well as network equipment manufacturers about the potential and value of ML in optical networking and beyond.
Yoshiaki Aono; NEC Corp., Japan
Zahra Bakhtiari; Microsoft, USA
Biondo Biondi, Stanford University, USA
Mattia Cantono; Google, USA
Petar Djukic; Ciena, Canada