Actionable Benefits
- Determine key trends that are driving the need for ‘intelligent’ maintenance solutions.
- Educate decision makers and product developers on the impact that AI, ML and the cloud has on telco maintenance solutions.
- Identify core technologies that vendors can use to design and develop next-generation maintenance and testing tools.
Research Highlights
- Summaries of key strands that vendors must consider as they seek to bring to market maintenance solutions that are more suitable to cloud-native implementation.
- Analysis of main AI/ML functions and their applicability in aiding CSPs to establish autonomous and adaptable troubleshooting.
- An overview of operational requirements that next-generation maintenance solutions should address.
Critical Questions Answered
- How are maintenance solutions evolving in light of cloud tools, software and DevOps methodologies?
- What are the key drivers that call for tools that are technology- and location-agnostic and that traverse multiple clouds and telco domains?
- How are some telco vendors implementing AI and ML in their maintenance and testing solutions?
Who Should Read This?
- Chief Technologists and other key decision makers for product design and development.
- Innovation Leaders, Architects and Strategy Principals from CSPs who need to understand how cloud and software will impact maintenance in their operations.
- CSPs, network equipment vendors and system integrators who need to understand the dynamics of AI and ML integration in their operations and processes.
Companies Mentioned
