Principal Engineer, Telecom BU, Nagarro
About the white paper
Data Analytics and Data Sciences (AI&ML) have been at the center of initiatives among telecom companies’ efforts in replacing traditional (reactive) network maintenance with predictive & cognitive (proactive) modes of operations. Machine learning provides systems the ability to learn and improve automatically from experience without being explicitly programmed. These techniques have evolved over the years from Descriptive (what has happened) to Diagnostic (why did it happen) to Predictive (what could happen) to Prescriptive (what action could be taken).
This white paper explores how data sciences can be harnessed to orchestrate and automate intelligent network operations that are self-aware, self-maintaining, and self-caring.
Download this white paper to explore:
Several challenges in traditional network operations
The need for predictive maintenance and the benefits it brings in the day-to-day operations, and
A roadmap to successfully adapt it to fulfill a telco’s vision of autonomous and cognitive networks.