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Vasona Networks Names New CTO

Vasona Networks announced the appointment of Rui Frazao as Chief Technology Officer.

Frazao joins following nearly 15 years with Vodafone, where he was most recently director of network engineering. A renowned mobile network edge thought leader, Frazao is advancing Vasona Networks’ pioneering efforts in the space, while working closely with global mobile network operators to assure great results from their deployments of Vasona SmartAIR and SmartVISION.

“Rui brings an operator’s perspective on how Vasona Networks’ solutions deploy in the network, and has unique understanding about the rise of virtualization in environments operating at large and growing scale,” says Biren Sood, CEO of Vasona Networks. “Rui’s experience, expertise and visionary track record are vital as our rollouts expand and our work proceeds with customers on realizing the future of mobile network architectures.”

SmartAIR and SmartVISION leverage dynamic rate control with feedback (DRCF) technology to classify data traffic, assess congestion within individual cells across any application type, and take actions that minimize session latency while maximizing user experience quality. Operators benefit from higher content carriage, more satisfied customers and better capital efficiency. They also gain real-time and long-term analytical perspectives on network operations and capacity planning.

“As mobile network operators deal with IoT and rapid demand growth, there is movement towards delivering applications from the network edge, which I’ve experienced first-hand through Vodafone’s virtualization initiatives,” says Frazao. “Vasona Networks is taking a leadership position in these trends, making now a fantastic time to work on advancing the company’s technological vision and implementation.”

As director of network engineering for Vodafone, Frazao was responsible for the company’s Central European network engineering efforts, including Germany, the Netherlands, Hungary and the Czech Republic. His technical areas of responsibility included mobile radio, transmission, and core for voice, data, and enterprise solutions. Key projects included overseeing the launch of Europe’s first full-production, virtualized network core. Frazao also led the successful deployment of VoLTE across Vodafone Germany. Prior to his work with Vodafone, Frazao held engineering roles with Cisco, the Lisbon Stock Exchange, SIBS and A Beltronica.

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Vasona Networks Names New CTO

Vasona Networks announced the appointment of Rui Frazao as Chief Technology Officer.

Frazao joins following nearly 15 years with Vodafone, where he was most recently director of network engineering. A renowned mobile network edge thought leader, Frazao is advancing Vasona Networks’ pioneering efforts in the space, while working closely with global mobile network operators to assure great results from their deployments of Vasona SmartAIR and SmartVISION.

“Rui brings an operator’s perspective on how Vasona Networks’ solutions deploy in the network, and has unique understanding about the rise of virtualization in environments operating at large and growing scale,” says Biren Sood, CEO of Vasona Networks. “Rui’s experience, expertise and visionary track record are vital as our rollouts expand and our work proceeds with customers on realizing the future of mobile network architectures.”

SmartAIR and SmartVISION leverage dynamic rate control with feedback (DRCF) technology to classify data traffic, assess congestion within individual cells across any application type, and take actions that minimize session latency while maximizing user experience quality. Operators benefit from higher content carriage, more satisfied customers and better capital efficiency. They also gain real-time and long-term analytical perspectives on network operations and capacity planning.

“As mobile network operators deal with IoT and rapid demand growth, there is movement towards delivering applications from the network edge, which I’ve experienced first-hand through Vodafone’s virtualization initiatives,” says Frazao. “Vasona Networks is taking a leadership position in these trends, making now a fantastic time to work on advancing the company’s technological vision and implementation.”

As director of network engineering for Vodafone, Frazao was responsible for the company’s Central European network engineering efforts, including Germany, the Netherlands, Hungary and the Czech Republic. His technical areas of responsibility included mobile radio, transmission, and core for voice, data, and enterprise solutions. Key projects included overseeing the launch of Europe’s first full-production, virtualized network core. Frazao also led the successful deployment of VoLTE across Vodafone Germany. Prior to his work with Vodafone, Frazao held engineering roles with Cisco, the Lisbon Stock Exchange, SIBS and A Beltronica.

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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 ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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.