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Infovista Releases Ativa Automated Assurance and Operations Suite

Infovista announced the general availability of Infovista Ativa, its new suite of cloud-native applications for Automated Assurance and Operations of cloudified, fixed, IP and wireless networks.

Infovista Ativa combines – in a single cloud-native framework – traditionally separate Assurance and Operations capabilities such as customer and device; service and application; network resource performance and fault monitoring and analytics. This integrated approach to Automated Assurance and Operations enables CSPs and enterprises to address the unique challenges of programmable cloudified networks, reducing OPEX and accelerating monetization through advanced automation.

The cloud-native suite enables customers to automate within and between silos to deliver 360° visibility and automation across digital experiences, apps, services, networks and infrastructure. Ativa combines customer experience intelligence; application and service intelligence; and network intelligence with automated operations to support end to end Automated Assurance and Operations use cases. Based on a shared platform for AI/ML analytics, process and network automation, geo-mapping and user interface management, Ativa enables pre-configured, outcome-based solutions designed to support specific end-to-end operational processes and business outcomes. Use case-based solutions powered by Ativa include customer experience and device analytics, network segment performance management, IoT assurance, Smart CAPEX allocation, and predictive SLA management.

Ativa leverages advanced technologies and methodologies such as AIOps, zero-touch configuration, active assurance and workflow automation, to deliver a set of pre-configured, outcome-based solutions designed to deliver specific operational and business benefits.

“For operators today, Automated Assurance and Operations is business-critical, enabling them to unlock their networks’ potential to deliver new business at scale by addressing the significant complexity of operations for cloudified networks. It is not only a question of increasing automation though. It takes a complete rethink of how we design, operate and iterate the associated tools and capabilities, from domain and technology-based, to outcomes-based,” said Renata Da Silva, VP Product, Service Assurance at Infovista. “Ativa, with its end-to-end outcome-based solutions empowered by advanced cloud-native technologies like AIOps, zero-touch configuration and workflow automation, quickly delivers our customers actionable intelligence and analytics, across experiences, services and network resources from a single pane of glass, designed to address the most urgent operational challenges faced by our customers today but as well prepare them for future needs.”

The Ativa use case-based solutions enable advanced Automated Assurance and Operations for specific network and service operations scenarios, including:

- 360° Assurance for 5G Slicing, supporting automated network slice SLA management

- 5G Standalone network monitoring and assurance

- Advanced customer and device analytics

- Operational smart CAPEX allocation for ROI optimization

- B2B services, like VPN and SD-WAN assurance

- IoT service monitoring and assurance

- VoLTE and VoNR service monitoring and assurance

- Fixed and mobile broadband service monitoring and assurance

- Roaming and interconnect service monitoring and assurance

The Ativa suite is powered by a common cloud platform – the network lifecycle automation (NLA) cloud platform – enabling 360° Assurance use cases that include workflows and automation between Ativa applications and external systems. 360° Assurance solutions include capabilities supporting automation across monitoring, detection, troubleshooting, issue resolution and validation, for specific network and operations scenarios. These capabilities include shared engines for network and service modeling; predictive and prescriptive analytics; workflow management and root cause analysis; and connectors for 3rd party network and service managers, controllers, orchestrators and trouble ticketing management systems.

The Infovista Ativa suite of applications can be deployed independently or in combination, and includes:

- 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

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Infovista Releases Ativa Automated Assurance and Operations Suite

Infovista announced the general availability of Infovista Ativa, its new suite of cloud-native applications for Automated Assurance and Operations of cloudified, fixed, IP and wireless networks.

Infovista Ativa combines – in a single cloud-native framework – traditionally separate Assurance and Operations capabilities such as customer and device; service and application; network resource performance and fault monitoring and analytics. This integrated approach to Automated Assurance and Operations enables CSPs and enterprises to address the unique challenges of programmable cloudified networks, reducing OPEX and accelerating monetization through advanced automation.

The cloud-native suite enables customers to automate within and between silos to deliver 360° visibility and automation across digital experiences, apps, services, networks and infrastructure. Ativa combines customer experience intelligence; application and service intelligence; and network intelligence with automated operations to support end to end Automated Assurance and Operations use cases. Based on a shared platform for AI/ML analytics, process and network automation, geo-mapping and user interface management, Ativa enables pre-configured, outcome-based solutions designed to support specific end-to-end operational processes and business outcomes. Use case-based solutions powered by Ativa include customer experience and device analytics, network segment performance management, IoT assurance, Smart CAPEX allocation, and predictive SLA management.

Ativa leverages advanced technologies and methodologies such as AIOps, zero-touch configuration, active assurance and workflow automation, to deliver a set of pre-configured, outcome-based solutions designed to deliver specific operational and business benefits.

“For operators today, Automated Assurance and Operations is business-critical, enabling them to unlock their networks’ potential to deliver new business at scale by addressing the significant complexity of operations for cloudified networks. It is not only a question of increasing automation though. It takes a complete rethink of how we design, operate and iterate the associated tools and capabilities, from domain and technology-based, to outcomes-based,” said Renata Da Silva, VP Product, Service Assurance at Infovista. “Ativa, with its end-to-end outcome-based solutions empowered by advanced cloud-native technologies like AIOps, zero-touch configuration and workflow automation, quickly delivers our customers actionable intelligence and analytics, across experiences, services and network resources from a single pane of glass, designed to address the most urgent operational challenges faced by our customers today but as well prepare them for future needs.”

The Ativa use case-based solutions enable advanced Automated Assurance and Operations for specific network and service operations scenarios, including:

- 360° Assurance for 5G Slicing, supporting automated network slice SLA management

- 5G Standalone network monitoring and assurance

- Advanced customer and device analytics

- Operational smart CAPEX allocation for ROI optimization

- B2B services, like VPN and SD-WAN assurance

- IoT service monitoring and assurance

- VoLTE and VoNR service monitoring and assurance

- Fixed and mobile broadband service monitoring and assurance

- Roaming and interconnect service monitoring and assurance

The Ativa suite is powered by a common cloud platform – the network lifecycle automation (NLA) cloud platform – enabling 360° Assurance use cases that include workflows and automation between Ativa applications and external systems. 360° Assurance solutions include capabilities supporting automation across monitoring, detection, troubleshooting, issue resolution and validation, for specific network and operations scenarios. These capabilities include shared engines for network and service modeling; predictive and prescriptive analytics; workflow management and root cause analysis; and connectors for 3rd party network and service managers, controllers, orchestrators and trouble ticketing management systems.

The Infovista Ativa suite of applications can be deployed independently or in combination, and includes:

- 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

The Latest

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...