Service Design and Orchestration
Overview
The research in this programme focuses on the evolution of communications service providers’ (CSPs’) traditional fulfilment systems and processes towards highly agile, automated, self-service-based and intent-driven service design and orchestration systems that use real-time dynamic inventory, service catalogues and topology; planning/optimisation systems for virtual networks; and model-based configuration systems that use highly abstracted network APIs to activate services.
Themes
- Using AI to create autonomous workflows and generate good-quality data and insights to improve processes that are currently done manually.
- Creating a programmable network to support new CSP business models in a delayered market.
- Supporting hyperautomation for network optimisation and planning.
Questions answered
- What are the implications of managing complex partner ecosystems?
- How should CSPs implement non-real-time RIC and service management orchestration (SMO)?
- Do digital twins save CSPs money?
- How can CSPs maintain high-quality data in a next-generation inventory management system?
- How do CSPs create a usable data store in an increasingly dynamic IT-based network ?
- How can CSPs best implement closed-loop with assurance systems ?
- Will tightly integrated all-in-one SaaS-based platforms prevail in the market ?
- How does AI help to provide hyper-automations for closed-loop processes?
Latest Service Design and Orchestration research
View allCSPs’ service management and orchestration spending will reach USD1.4 billion by 2028
Article
CSPs are adopting new intent lifecycle management frameworks for intent-driven autonomous networks
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Service management and orchestration: worldwide forecast 2023–2028