Determine key trends that are driving market demand for cloud-friendly and automated assurance solutions.
Educate product engineers on key design requirements for Artificial Intelligence (AI)-powered and cloud assurance software as the industry progresses toward more cloudified networks.
Identify the core technologies that suppliers are using to design and develop next-generation service assurance solutions.
Critical Questions Answered
What are the key decision factors for CSPs when selecting an assurance vendor?
How is the service assurance domain evolving considering cloud tools, software, and DevOps methodologies?
How is the supply side implementing big data analytics and AI in its End-to-End (E2E) automated assurance offering?
Research Highlights
Summaries of key technology strands that suppliers must consider as they bring to market automated assurance solutions that are more suitable to cloudified networks.
Analysis of how the cloud stack—hypervisor abstraction and Platform-as-a-Service (PaaS) layers—impact event monitoring, aggregation, and correlation.
Insights into the competitive landscape for automated assurance solutions.
Who Should Read This?
Decision makers for networks and cloud infrastructure who need to understand key automation and service assurance imperatives.
Innovation leaders and architects who need to understand how software and the cloud impact the existing service assurance landscape.
Suppliers that need to understand Communication Service Providers’ (CSPs) requirements and pain points so they can communicate to individual CSPs’ circumstances.
