ON-DEMAND
Data science projects have the potential to bring huge improvements to network automation and customer experience for the CSP’s journey to becoming Digital Service Providers. However, they are hampered by spending 80% of their time on data preparation (DataOps) and only 20% on modeling and implementation (AIOps), if they ever see the light of day.
In this gathering of the Global Architecture Forum, we’ll explain how Telenor Norway solved this challenge by implementing the concept of a “Model Factory” and boosted productivity in Telenor’s analytical department.
Get an insight into the concept implemented by Telenor Norway and why they developed it.
Find out how the Model Factory boosted productivity in Telenor's data analytics department.
Learn more about the keys to the initiative's success and some challenges the team faced along the way.
Lead data scientist
EMEA Network Analytics AI&ML Business Principal
CTO
Contributing Analyst
CIO
CIO
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