Showcasing Network Lifecycle Automation and its business value for CSPs and enterprise

Join us to find out how cross-network lifecycle uses cases enable automation of processes spanning multiple lifecycle phases, accelerating digital transformation for Communication Service Providers (CSPs) and Enterprises. The use cases will enable reduction in CAPEX and OPEX while improving customer experience and monetizing advanced connectivity services the involve end-to-end automation – of complex, vitalized networks and services, across the full network lifecycle: planning: testing and deploying operating: and monetizing and reporting

Our experts will be available to discuss the latest releases across the Infovista portfolio, which includes: 

• Discussing and demonstrating its Network Lifecycle Automation (NLA) use cases, which include: optimized network investment for increased return on investment (RoI); 5G slice lifecycle management; accelerated SD-WAN adoption; enhanced enterprise and fixed voice service quality; and cross-domain root-cause identification.
• Discussing its plans to enable Uber Drivers and Drone Pilots to conduct Site Verification
• Discussing case studies and experiences from leading CSPs and partners, including:
• Rakuten Mobile
• ZAIN KSA
• umlaut (Accenture) 
• Demonstrating its 5G roll-out solutions, starting with first-to-market 5G network solutions that include the latest generation of 3D digital maps, 5G planning and 5G network testing
• Discussing and demonstrating the latest innovations across its networks product portfolio, including
• The world’s first AI/ML-based wireless planning prediction model (Artificial Intelligence Model – AIM), enabling mobile operators to make prediction runtime up to 3 times faster and deliver network plans that are 25% more accurate
• The recently launched testing solution for Single Site Verification (SSV)
• The cloud-native by design KLERITY1 platform, which supports experience assurance for 5G Standalone networks.
• Demonstrating the use of AI to accurately predict audio quality, supporting verification of VoNR service quality for established 5G networks, avoiding the cost of implementing and tuning 3rd party solutions.
• Discussing its strategy for the cloudification of its solutions and its partnerships with cloud service providers such as Microsoft Azure and Google Cloud.