RELATED SERVICE:
5G & 6G Cloud Native Systems
Actionable Benefits
- Determine key industry trends that are creating a spike in demand for AI/ML in telco operations.
- Educate strategy teams and product engineers on key design requirements for AI/ML-powered software as the industry progresses towards fully autonomous, cognitive platforms.
- Identify key use cases and end verticals that the industry can use as a guidance to unlock innovation and new value creation from AI/ML-based platforms.
Research Highlights
- Insights on key elements that both vendors and CSPs must consider as they implement AI/ML-based network automation in 5G networks.
- Analysis of different policy management systems, ‘basic’ and closed-loop automation and their applicability in aiding CSPs edge closer to zero-touch operations.
- An overview of key technology pillars that technology providers must satisfy for effective and high-quality automation capabilities.
Critical Questions Answered
- How are some CSPs implementing AI/ML to modernize their operations and NOCs into more cognitive environments?
- What are the key operations and automation pillars that can benefit from AI/ML to support an inherently distributed network such as 5G?
- What are some key lessons that should be considered part of the overall automation journey as CSPs transform their operations towards more hyperscale-based capabilities?
Who Should Read This?
- Decision makers for network and IT infrastructure who need to understand key telco automation imperatives.
- Technology providers who need to understand how software and cloud platforms can be used to simplify network operations.
- CSPS and SIs who need to understand various other aspects that underpin service provider’s organizational structure in addition to technology.
Companies Mentioned
