  The power of Machine Learning and Artificial Intelligence algorithms based on
collected datasets, along with the programmability and flexibility provided by
Software Defined Networking can provide the building blocks for constructing
the so-called Zero-Touch Network and Service Management systems. However, the
fuel towards this goal relies on the availability of sufficient and
good-quality data collected from measurements and telemetry. This article
provides a telemetry methodology to collect accurate latency measurements, as a
first step toward building intelligent control planes that make correct
decisions based on precise information.
