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MYCOM OSI Launches Early Warning System for NOCs and SOCs

MYCOM OSI announced its latest solution for Proactive & Preventative NOCs and SOCs – the MYCOM OSI Early Warning System.

MYCOM OSI’s Early Warning System (EWS) solution equips operation center teams with a near real-time surveillance system that continuously measures the traffic of every mobile base station against daily targets, predicted from historical data. Because traffic loss derives from – and is highly sensitive to – a broad range of multiple underlying problems, the operations center teams responsible for preventative tasks gain rapid and actionable insight in to a wide range of potential issues for further preventative investigation.

Once uncharacteristic traffic loss is detected, MYCOM OSI’s EWS provides a customizable flag for the affected base station or area containing data such as network fault data, performance degradation data or service quality data. The data can then be used in root cause analysis and can integrate into associated fault, performance, service management and customer experience systems. It can also trigger automated root cause analysis workflows using the MYCOM OSI ProActor automation product. In addition, the traffic can be segmented by service type and customer type to provide service impact and quality management for VIP and corporate customers.

“To date, the vast majority of Operations Centers have failed to include performance data and therefore failed to be adequately proactive. Traffic is the one metric that suffers if anything goes wrong in the network – this is the network metric that users, not networks, generate and is most closely associated with revenue – so CSPs care about it,” said Dirk Michel, VP Solutions at MYCOM OSI. “By using traffic absorption rates at network ingress points as a near real-time surveillance sensor, and continuously calibrating these sensors with updated targets based on historical traffic levels, operations center teams can really start to listen to the heartbeat of the network. When an anomaly is identified they can instantly kick in with their NOC/SOC pacemaker system to take rapid action.”

MYCOM OSI’s Early Warning System solution utilizes MYCOM OSI’s PrOptima performance management product that processes up to 25 Billion data records per quarter-hour whilst maintaining its near real-time characteristics that are critical to 24/7 operations center. PrOptima allows MYCOM OSI’s Early Warning System to collect and process traffic rates at all access points irrespective of technology (2G, 3G, 4G) fast enough to enable near real-time traffic loss detection, correlation, and warning.

The Early Warning System calculates and sets expected traffic absorption rates for each network ingress point continuously by employing self-learning algorithms that consider time of day, week, month and year and other factors such as traffic growth, timeline profiles and statistical deviations from normal behavior. Traffic-loss triggers and sensitivity can range from simple static threshold crossing alarms through to statistical deviations and to complex conditional if-then logic, and can be manually adjusted as well as adjusted based on benchmark, historical or statistical deviation behaviors. These triggers can be set at any granularity from individual base stations – such as those serving VIP or corporate customers – through to a special event location or a city, region or country.

PrOptima 5 is a converged (Mobile/Fixed/IP/Virtualized) Network Performance Management solution with out-of-the-box support for multiple technologies, domains and equipment vendors across access, backhaul and core (physical and virtualized) networks. It processes large volumes of performance data in near real-time, has advanced correlation, analysis, reporting and visualization modules, is highly flexible and configurable, and supports large multi-tenancy networks.

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MYCOM OSI Launches Early Warning System for NOCs and SOCs

MYCOM OSI announced its latest solution for Proactive & Preventative NOCs and SOCs – the MYCOM OSI Early Warning System.

MYCOM OSI’s Early Warning System (EWS) solution equips operation center teams with a near real-time surveillance system that continuously measures the traffic of every mobile base station against daily targets, predicted from historical data. Because traffic loss derives from – and is highly sensitive to – a broad range of multiple underlying problems, the operations center teams responsible for preventative tasks gain rapid and actionable insight in to a wide range of potential issues for further preventative investigation.

Once uncharacteristic traffic loss is detected, MYCOM OSI’s EWS provides a customizable flag for the affected base station or area containing data such as network fault data, performance degradation data or service quality data. The data can then be used in root cause analysis and can integrate into associated fault, performance, service management and customer experience systems. It can also trigger automated root cause analysis workflows using the MYCOM OSI ProActor automation product. In addition, the traffic can be segmented by service type and customer type to provide service impact and quality management for VIP and corporate customers.

“To date, the vast majority of Operations Centers have failed to include performance data and therefore failed to be adequately proactive. Traffic is the one metric that suffers if anything goes wrong in the network – this is the network metric that users, not networks, generate and is most closely associated with revenue – so CSPs care about it,” said Dirk Michel, VP Solutions at MYCOM OSI. “By using traffic absorption rates at network ingress points as a near real-time surveillance sensor, and continuously calibrating these sensors with updated targets based on historical traffic levels, operations center teams can really start to listen to the heartbeat of the network. When an anomaly is identified they can instantly kick in with their NOC/SOC pacemaker system to take rapid action.”

MYCOM OSI’s Early Warning System solution utilizes MYCOM OSI’s PrOptima performance management product that processes up to 25 Billion data records per quarter-hour whilst maintaining its near real-time characteristics that are critical to 24/7 operations center. PrOptima allows MYCOM OSI’s Early Warning System to collect and process traffic rates at all access points irrespective of technology (2G, 3G, 4G) fast enough to enable near real-time traffic loss detection, correlation, and warning.

The Early Warning System calculates and sets expected traffic absorption rates for each network ingress point continuously by employing self-learning algorithms that consider time of day, week, month and year and other factors such as traffic growth, timeline profiles and statistical deviations from normal behavior. Traffic-loss triggers and sensitivity can range from simple static threshold crossing alarms through to statistical deviations and to complex conditional if-then logic, and can be manually adjusted as well as adjusted based on benchmark, historical or statistical deviation behaviors. These triggers can be set at any granularity from individual base stations – such as those serving VIP or corporate customers – through to a special event location or a city, region or country.

PrOptima 5 is a converged (Mobile/Fixed/IP/Virtualized) Network Performance Management solution with out-of-the-box support for multiple technologies, domains and equipment vendors across access, backhaul and core (physical and virtualized) networks. It processes large volumes of performance data in near real-time, has advanced correlation, analysis, reporting and visualization modules, is highly flexible and configurable, and supports large multi-tenancy networks.

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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.