Infovista announced Infovista Ativa, its new suite of cloud-native applications for Automated Assurance and Operations of cloudified, fixed, IP and wireless networks.
The Ativa suite of applications addresses the complexity of network and service management to provide CSPs with a single source of truth for 360° visibility, interoperability and predictive automation, from the customer to the network resource and underlying infrastructure.
Ativa replaces siloed, fragmented, domain-oriented OSS and assurance systems that focus on multiple disparate domains such as subscriber, service, network, or infrastructure with a single cloud-native suite of automated operations and assurance applications. It enables a wide range of use case-based solutions – such as customer experience and device analytics, network segment performance management, IoT assurance, Smart CAPEX planning, and predictive SLA management.
Ativa includes advanced automation capabilities, including AIOps, zero-touch configuration, active assurance, and workflow automation. This enables a new generation of automated cloud-based service operations center (SOC) that equips service providers to improve quality whilst reducing costs through system consolidation, process automation and the automation of network changes.
“The complex and dynamic nature of 5G and cloudified networks makes effective network and service management impossible without 360° visibility and automation across digital experiences, apps, services, networks and infrastructure,” said Yann Le Helloco, CTO at Infovista. “By combining domain and data silos with a powerful automation engine, Ativa enables CSPs to realize agile, efficient and scalable operations, based on a single source of truth. Ativa is cloud-native by design, correlating subscriber experience, service quality and resource performance to deliver end-to-end automated assurance and network optimization through a single pane of glass.”
Infovista Ativa enables a wide range of real-time and predictive Automated Assurance capabilities to support advanced network and service operations, such as:
- End-to-end subscriber, service and network intelligence, including geospatial customer behavior analytics and automated correlated visualization of content-specific customer experience KPIs such as mean opinion score (MOS)
- Enterprise SLA performance visualization, including the real-time normalization and summarization of enterprise SLAs, and enterprise self-service portals supporting initial triage of issues, enabled by a cloud-native architecture providing flexible multi-tenancy capabilities
- Cross-domain troubleshooting, from the identification of ongoing, or predicted, issues impacting customer experience to the underlying root-cause, including network resource faults, service configuration issues, network congestion and user device compatibility
- Service and domain orchestrator interoperability, with data enrichment and recommended actions to support open- and closed-loop automation driven by open APIs
- Automated zero-touch configuration, for network healing actions based on flexible configurable automation workflows
- Real-time network fault analytics and prioritization, with automated and predictive correlation of events to support the identification and troubleshooting of customer-impacting events
Infovista Ativa is underpinned by an open, cloud-native platform utilizing industry standard Open APIs and software development kits (SDKs) that allow customers and partners to extend the available catalog of pre-configured Infovista solutions and build their own applications and use cases.
Pre-configured automated solutions powered by Ativa include 360° Assurance for mobile operators delivering 3G/4G/5G-NSA and 5G-SA services like SLA-backed 5G slices, overlay services, video and voice, as well as cross-domain, end-to-end geolocated troubleshooting and advanced operational analytics. Ativa also powers 360° Assurance for wireline, broadband, cable operators and roaming carriers to enable the end-to-end monitoring of traffic, performance, service quality and customer experience, from user equipment (UE) and devices to the core network, connectivity services and applications they consume.
Ativa also supports Network Lifecycle Automation solutions that interoperate with Infovista or third-party applications to enhance planning, deployment and monetization with operational intelligence.
The Infovista Ativa suite of applications can be deployed independently or in combination, and include:
- Ativa Net for cross-domain visibility of network resources and infrastructure performance. It correlates network services, VNFs and infrastructure for rapid troubleshooting
- Ativa App for cross-domain visibility of subscriber-facing and resource-facing services. It proactively monitors and troubleshoots QoS and enterprise SLAs across wireless and wireline
- Ativa Experience for cross-domain visibility of perceived subscriber experience, including deep packet analysis
- Ativa Automated Ops for automated AI/ML-driven predictive analytics; network and service orchestrator interoperability; zero-touch resource configuration; NOC/SOC workflow automation; and active testing and validation
Available in June 2022, Ativa is an all-new cloud-native assurance suite that combines new software innovations, microservices from existing Infovista software assets – including from its market-leading planning and testing product lines – and partner integrations.
The Latest
80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...
40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...
Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...
Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...
Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...
Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...
Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...
Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...
Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...
If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...