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Infovista Unveils NLA Cloud Platform to Unify Network Planning, Testing & Automated Assurance

Infovista Unveils NLA Cloud Platform to Unify Network Planning, Testing & Automated Assurance Image Credit: Natali_Mis/Bigstockphoto.com

Infovista, the global leader in network lifecycle automation, unveiled the NLA Cloud Platform™ that unifies its network planning, testing, and automated assurance and operations products and solutions. Integrating data, workflows, and analytics across the network lifecycle and breaking the limitation of traditional siloed-solution approaches, the NLA Cloud Platform brings greater use case innovation, agility, and interoperability for CSPs’ throughout and across their next-generation fixed and mobile networks.

The NLA Cloud Platform provides common telco-specific functions such as automation, analytics, and data correlation engines to power Infovista solutions across the entire network lifecycle. The platform extension builds on the successful deployment of the platform powering the Ativa Suite of applications for automated assurance and operation to now also include Planet AI-driven RF network planning and TEMS network testing solutions. This translates into efficiency and productivity gains by reducing the footprint of previously siloed architectures, streamlining operability, and reducing management overhead through a unified cloud-native platform common to all Infovista solutions, which can be deployed independently or in combination on the NLA Cloud Platform.

The cloud-native architecture delivers a high level of openness thanks to a standard and extensible suite of adaptors and parsers for data collection from network nodes or other third-party systems. This enables the integration of multiple data sources – such as probe data, call traces, OSS, drive test and third-party data sources such as crowdsourced data, EMS data and post-processed data from other assurance, planning and testing solutions – to be consolidated and correlated to provide in-depth information and actionable insights in a single pane of glass.

The NLA Cloud Platform is fully containerized and provides common building blocks for all Infovista’s solutions such as a common web portal and engines for correlation, analytics, alerting and ML/AI automation of everyday workflows.This results in reduced footprint and resource utilization for improved TCO and energy consumption and a simplification in deployments and configurations. The platform reduces complexity further by offering a single monitoring and maintenance portal for software updates across the network lifecycle, single sign-on user access for applications and use cases, and a standard user interface across the different solutions.

The initial Network Lifecycle Automation use cases powered by Infovista’s network planning, testing and assurance solutions hosted on the NLA Cloud Platform include, but are not limited to:

Smart CAPEX – for rapid, AI/ML-enabled ROI-driven optimization of roll-outs and network densification/expansion. The solution uses advanced Digital Twin and ML-driven scenario analysis, combining network performance, business KPIs such as revenue and churn, and network TCO predictions to accurately optimize network planning for optimized ROI

Active Testing & Assurance – to correlate drive-test and service assurance data for new actionable insights, comprehensive troubleshooting and on-demand active testing through Precision Drive Testing, Infovista’s data-driven ML/AI-based approach for targeted and automated network drive tests

360º Assurance – a new family of use cases providing 360° Assurance of SLA-backed 5G services based on 5G slicing, VoLTE/VoNR and fixed voice and broadband services, as well as end-to-end monitoring and customer and device analytics.

Franco Messori, Chief Product Strategy & Transformation Officer, Infovista
Regardless of where an operator is in its journey to becoming cloud-native or enabling 5G-SA, they want to know that they can easily and cost-effectively automate processes and extend the benefits of shared data and analytics across their network as and when they’re ready.

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Author

Ray is a news editor at The Fast Mode, bringing with him more than 10 years of experience in the wireless industry.

For tips and feedback, email Ray at ray.sharma(at)thefastmode.com, or reach him on LinkedIn @raysharma10, Facebook @1RaySharma

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