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Vasona Networks Announces v2.1 of SmartAIR

Vasona Networks announced Version 2.1 of the company’s flagship Vasona SmartAIR, which builds on dynamic rate control with feedback (DRCF), adding Mobile Packet Assurance. This new feature enhances application performance when data packets are lost in the network not only as a result of bandwidth congestion, but also from weak signal strength or other performance-impacting events. Mobile Packet Assurance leverages Vasona Networks’ ability to take real-time action based on intelligence about all traffic in individual cells at any moment.

Based on its visibility of mobile data traffic globally, Vasona Networks estimates that when a typical high-quality video is streamed, packets are dropped every 5-10 seconds, hurting the viewing experience. Other types of traffic, such as mobile browsing or gaming, also suffer when packets are dropped, becoming slow or stalling completely. This degrades application performance, and contributes to network congestion and disruption of the mobile experience. Vasona Networks is positioned to address this common phenomenon as the network edge-based SmartAIR can assess and act on packet losses more quickly than devices in the mobile network core or those serving the data via the Internet.

“When a mobile operator can get out in front of packet loss problems and resend lost data more quickly, less packets have to be resent and the subscriber experience is improved,” says John Reister, VP of Marketing and Product, Vasona Networks. “Vasona Networks is raising the bar for speed of overcoming data loss based on current network conditions, resending lost packets the moment that cells can accommodate them.”

Alternative approaches are farther from the point of packet loss, and lack insight into what is happening on a cell-by-cell basis in real-time at the application level. This leads to longer detection delays and slower responses to problems, leaving users with more ‘spinning hourglass’ experiences. SmartAIR combines Mobile Packet Assurance with Vasona Networks’ DRCF functionality that monitors each cell and maintains a real-time congestion state for all flows. As a result, Vasona can avoid making a bad situation worse with constant resending of lost packets to an over-crowded cell that is momentarily incapable of handling the barrage of additional traffic. It also ensures that flows continue at the highest bitrate that the network can support, improving utilization at all times.

Version 2.1 of SmartAIR will be released mid-summer, with Mobile Packet Assurance as an added feature.

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Vasona Networks Announces v2.1 of SmartAIR

Vasona Networks announced Version 2.1 of the company’s flagship Vasona SmartAIR, which builds on dynamic rate control with feedback (DRCF), adding Mobile Packet Assurance. This new feature enhances application performance when data packets are lost in the network not only as a result of bandwidth congestion, but also from weak signal strength or other performance-impacting events. Mobile Packet Assurance leverages Vasona Networks’ ability to take real-time action based on intelligence about all traffic in individual cells at any moment.

Based on its visibility of mobile data traffic globally, Vasona Networks estimates that when a typical high-quality video is streamed, packets are dropped every 5-10 seconds, hurting the viewing experience. Other types of traffic, such as mobile browsing or gaming, also suffer when packets are dropped, becoming slow or stalling completely. This degrades application performance, and contributes to network congestion and disruption of the mobile experience. Vasona Networks is positioned to address this common phenomenon as the network edge-based SmartAIR can assess and act on packet losses more quickly than devices in the mobile network core or those serving the data via the Internet.

“When a mobile operator can get out in front of packet loss problems and resend lost data more quickly, less packets have to be resent and the subscriber experience is improved,” says John Reister, VP of Marketing and Product, Vasona Networks. “Vasona Networks is raising the bar for speed of overcoming data loss based on current network conditions, resending lost packets the moment that cells can accommodate them.”

Alternative approaches are farther from the point of packet loss, and lack insight into what is happening on a cell-by-cell basis in real-time at the application level. This leads to longer detection delays and slower responses to problems, leaving users with more ‘spinning hourglass’ experiences. SmartAIR combines Mobile Packet Assurance with Vasona Networks’ DRCF functionality that monitors each cell and maintains a real-time congestion state for all flows. As a result, Vasona can avoid making a bad situation worse with constant resending of lost packets to an over-crowded cell that is momentarily incapable of handling the barrage of additional traffic. It also ensures that flows continue at the highest bitrate that the network can support, improving utilization at all times.

Version 2.1 of SmartAIR will be released mid-summer, with Mobile Packet Assurance as an added feature.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.