Skip to main content

Infovista Introduces Ativa Optimize

Infovista introduced Ativa™ Optimize to deliver operators geospatial analytics, monitoring, troubleshooting and optimization across all their radio vendors and technologies – from 2G to 5G standalone – in a single pane of glass.

Part of the cloud-native Ativa suite of applications and solutions for automated assurance and operations, Ativa Optimize enables operators to streamline previously laborious processes through automated RAN diagnostics and recommendations, reducing swivel-chair operations and ensuring best performance and user experience (UX).

Built on the unified NLA Cloud Platform™ and leveraging best-in-class geolocation accuracy and actionable reporting, Ativa Optimize helps MNOs easily understand and visualize radio network performance and correlate it with user experience using geolocated subscriber call trace data. This enables operators to identify areas with the most customer impact and prioritize network operations accordingly, and monitor high-value customers and zoom down to individual subscribers for faster investigation and troubleshooting.

Ativa Optimize brings CAPEX and OPEX reductions by offering a futureproof unified cloud-based solution to manage all RAN networks, improving operational efficiency through advanced analytics and automation, and significantly reducing the number and cost of drive tests through analysis of subscriber call and device behavior. It also leverages its geospatial insights across the organization, helping planning, customer care, and marketing teams take well-informed business-driven decisions and improve the bottom-line.

“In programable networks, radio optimization is no longer a dedicated silo process but a continuous one, tightly connected to Service Assurance,” said Renata Da Silva, VP Product, Service Assurance at Infovista. “Having visibility of the right data at the right time to identify, troubleshoot, optimize and correct issues automatically is vital. Connecting customers’ strong demand for wireless connectivity to RAN resource constraints is mandatory for operators’ engineering teams, especially when more numerous and more complex radio technologies must be managed.”

Operators can correlate data from RAN to core by integrating Ativa Optimize with Ativa Experience and Ativa App, for end-to-end customer experience, service and application intelligence. This 360° visibility of network, service performance and user experience allow more systematic problem assessment, validation and prioritization. The Ativa suite of applications and solutions, which can be deployed independently or in combination, correlate experience, service quality and resource performance across domains to deliver end-to-end automated assurance through a single pane of glass.

Ativa Optimize enables 360º Assurance for VoLTE and VoNR, a comprehensive, end-to-end solution to ensure better customer experience when using voice services in dynamic networks. The solution reduces the complexity of assuring mobile voice services delivered through 4G and 5G networks using VoLTE and VoNR, while reducing operational complexity and costs through automation.

Ativa is powered by the NLA Cloud Platform, Infovista’s common cloud-native platform for network planning, testing, and assurance solutions that enables CSPs to reduce network operation costs and time-to-market of new services. The NLA Cloud Platform provides common telco-specific cloud-native automation, analytics and data correlation engines to power Infovista solutions across the full network lifecycle, including Infovista’s Planet AI-driven RF network planning, TEMS™ network testing and the full Ativa Suite for automated assurance and operation. This translates into efficiency and productivity gains by reducing the footprint of previously siloed systems, streamlining operability and reducing management overhead through a unified cloud-native platform common to all Infovista solutions.

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 ...

Infovista Introduces Ativa Optimize

Infovista introduced Ativa™ Optimize to deliver operators geospatial analytics, monitoring, troubleshooting and optimization across all their radio vendors and technologies – from 2G to 5G standalone – in a single pane of glass.

Part of the cloud-native Ativa suite of applications and solutions for automated assurance and operations, Ativa Optimize enables operators to streamline previously laborious processes through automated RAN diagnostics and recommendations, reducing swivel-chair operations and ensuring best performance and user experience (UX).

Built on the unified NLA Cloud Platform™ and leveraging best-in-class geolocation accuracy and actionable reporting, Ativa Optimize helps MNOs easily understand and visualize radio network performance and correlate it with user experience using geolocated subscriber call trace data. This enables operators to identify areas with the most customer impact and prioritize network operations accordingly, and monitor high-value customers and zoom down to individual subscribers for faster investigation and troubleshooting.

Ativa Optimize brings CAPEX and OPEX reductions by offering a futureproof unified cloud-based solution to manage all RAN networks, improving operational efficiency through advanced analytics and automation, and significantly reducing the number and cost of drive tests through analysis of subscriber call and device behavior. It also leverages its geospatial insights across the organization, helping planning, customer care, and marketing teams take well-informed business-driven decisions and improve the bottom-line.

“In programable networks, radio optimization is no longer a dedicated silo process but a continuous one, tightly connected to Service Assurance,” said Renata Da Silva, VP Product, Service Assurance at Infovista. “Having visibility of the right data at the right time to identify, troubleshoot, optimize and correct issues automatically is vital. Connecting customers’ strong demand for wireless connectivity to RAN resource constraints is mandatory for operators’ engineering teams, especially when more numerous and more complex radio technologies must be managed.”

Operators can correlate data from RAN to core by integrating Ativa Optimize with Ativa Experience and Ativa App, for end-to-end customer experience, service and application intelligence. This 360° visibility of network, service performance and user experience allow more systematic problem assessment, validation and prioritization. The Ativa suite of applications and solutions, which can be deployed independently or in combination, correlate experience, service quality and resource performance across domains to deliver end-to-end automated assurance through a single pane of glass.

Ativa Optimize enables 360º Assurance for VoLTE and VoNR, a comprehensive, end-to-end solution to ensure better customer experience when using voice services in dynamic networks. The solution reduces the complexity of assuring mobile voice services delivered through 4G and 5G networks using VoLTE and VoNR, while reducing operational complexity and costs through automation.

Ativa is powered by the NLA Cloud Platform, Infovista’s common cloud-native platform for network planning, testing, and assurance solutions that enables CSPs to reduce network operation costs and time-to-market of new services. The NLA Cloud Platform provides common telco-specific cloud-native automation, analytics and data correlation engines to power Infovista solutions across the full network lifecycle, including Infovista’s Planet AI-driven RF network planning, TEMS™ network testing and the full Ativa Suite for automated assurance and operation. This translates into efficiency and productivity gains by reducing the footprint of previously siloed systems, streamlining operability and reducing management overhead through a unified cloud-native platform common to all Infovista solutions.

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 ...