Session: AI for Anomaly detection in network area
Have you ever wondered how AI is used in the telco network area?
Orange, as data-driven and AI-powered telco company, place Data and AI at the heart of our innovations for Smarter Networks. In that case, network management is supported by Machine Learning models for detecting anomalies based on different types of network data. During this presentation we will zoom on Predictive Network Maintenance based on network data. Our aim is to shorten root cause analysis with Explainable AI to improve network experts daily job.
- Data-driven transformation with 3 pillars: AI + Automation + Cloudification of Network data
- Anomaly detection is a key functionality feeding the root cause and the resolution
- GCP as a reference platform for data pipeline development
Marzena is a Data Scientist with 10+ years’ experience within data mining, analytics, modelling and machine learning. Her educational background is based on Advanced Econometrics. She has been working with Big Data starting from customer data to network data. Currently, R&D Expert in Orange responsible for using AI and ML to support network management (Predictive Network Maintenance).
Her strong advantage is the ability to connect the business with the technology. At work, she is focused on delivering business value to the client. She is a fortune teller who forecasts the future from data. Marzena is also strongly involved in activating and promoting women into IT and high technologies.
In 2022 she was honoured to be in TOP 100 Women in AI in Poland.