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Keysight Nemo 5G RAN Analytics Software Launched

Keysight Technologies has launched the new Keysight Nemo 5G RAN Analytics software, a fully automated cloud-based solution for streamlining data processing, as well as reporting and analytics, to speed analysis of a mobile operator's 5G radio access network (RAN) performance.

Keysight Nemo 5G RAN Analytics software is based on a centralized, web-based data management platform for enterprise-level analytics and reporting. It enables operators, service contractors and network equipment manufacturers (NEMs) to accelerate network site acceptance, optimization, benchmarking and troubleshooting. Nemo 5G RAN Analytics combines data analytics, built on artificial intelligence (AI) and machine learning (ML) frameworks, with an intuitive user interface (UI) to efficiently manage large amounts of data captured in a live 5G network.

"Worldwide intensification of multi-vendor 5G deployments is leading to the need for synchronized data management tools that simplifies access to interactive views and accelerates the uploading, processing, analysis and reporting of large volumes of data," said Petri Toljamo, VP and GM for Nemo Wireless Network Solutions at Keysight. "By improving the efficiency in the data analytics workflow, Nemo 5G RAN Analytics supports smooth roll-outs of a wide range of 5G services in diverse network typologies."

Available as software as a service (SaaS), Nemo 5G RAN Analytics seamlessly connects with other Keysight Nemo solutions including:

- Nemo Outdoor 5G NR Drive Test Solution – a laptop-based software for measuring the real end-user quality of experience (QoE) in 5G and legacy wireless networks.

- Nemo Cloud Remote Monitoring Solution – a centralized, web-based service that enables users to remotely control and manage measurement fleets in real time.

- Nemo Handy – a handheld measurement software that uses Android-based commercial off-the-shelf (COTS) smartphones for verifying QoE in cellular networks.

- Nemo Network Benchmarking Solution – enables mobile operators to benchmark end-user QoE across multiple 5G NR and 4G LTE networks.

- Nemo Backpack 5G In-Building Benchmarking Solution – allows users to measure in-building key performance indicators (KPIs) across multiple 5G networks simultaneously.

When combined, Keysight's Nemo solutions enable users to quickly and reliably upload data captured in the field and share a common set of analytics reports across the organization.

Centralizing the data associated with a wide range of field-based measurements simplifies access to the data that underpins time-sensitive reporting, root cause analysis and other cross-organizational activities.

Keysight's Nemo 5G RAN Analytics enables users to automate a wide range of these activities, including:

- Data throughput, radio frequency (RF) and voice performance analysis

- Identification of network issues and root-cause analysis

- Near real-time drill down diagnostics

- Benchmarking performance of devices and cellular networks

- Creating, managing and distributing customizable reports and dashboards

- Performance analysis of over-the-top (OTT) applications such as YouTube, Facebook, WhatsApp and Twitter.

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Keysight Nemo 5G RAN Analytics Software Launched

Keysight Technologies has launched the new Keysight Nemo 5G RAN Analytics software, a fully automated cloud-based solution for streamlining data processing, as well as reporting and analytics, to speed analysis of a mobile operator's 5G radio access network (RAN) performance.

Keysight Nemo 5G RAN Analytics software is based on a centralized, web-based data management platform for enterprise-level analytics and reporting. It enables operators, service contractors and network equipment manufacturers (NEMs) to accelerate network site acceptance, optimization, benchmarking and troubleshooting. Nemo 5G RAN Analytics combines data analytics, built on artificial intelligence (AI) and machine learning (ML) frameworks, with an intuitive user interface (UI) to efficiently manage large amounts of data captured in a live 5G network.

"Worldwide intensification of multi-vendor 5G deployments is leading to the need for synchronized data management tools that simplifies access to interactive views and accelerates the uploading, processing, analysis and reporting of large volumes of data," said Petri Toljamo, VP and GM for Nemo Wireless Network Solutions at Keysight. "By improving the efficiency in the data analytics workflow, Nemo 5G RAN Analytics supports smooth roll-outs of a wide range of 5G services in diverse network typologies."

Available as software as a service (SaaS), Nemo 5G RAN Analytics seamlessly connects with other Keysight Nemo solutions including:

- Nemo Outdoor 5G NR Drive Test Solution – a laptop-based software for measuring the real end-user quality of experience (QoE) in 5G and legacy wireless networks.

- Nemo Cloud Remote Monitoring Solution – a centralized, web-based service that enables users to remotely control and manage measurement fleets in real time.

- Nemo Handy – a handheld measurement software that uses Android-based commercial off-the-shelf (COTS) smartphones for verifying QoE in cellular networks.

- Nemo Network Benchmarking Solution – enables mobile operators to benchmark end-user QoE across multiple 5G NR and 4G LTE networks.

- Nemo Backpack 5G In-Building Benchmarking Solution – allows users to measure in-building key performance indicators (KPIs) across multiple 5G networks simultaneously.

When combined, Keysight's Nemo solutions enable users to quickly and reliably upload data captured in the field and share a common set of analytics reports across the organization.

Centralizing the data associated with a wide range of field-based measurements simplifies access to the data that underpins time-sensitive reporting, root cause analysis and other cross-organizational activities.

Keysight's Nemo 5G RAN Analytics enables users to automate a wide range of these activities, including:

- Data throughput, radio frequency (RF) and voice performance analysis

- Identification of network issues and root-cause analysis

- Near real-time drill down diagnostics

- Benchmarking performance of devices and cellular networks

- Creating, managing and distributing customizable reports and dashboards

- Performance analysis of over-the-top (OTT) applications such as YouTube, Facebook, WhatsApp and Twitter.

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77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

In the ever-evolving digital landscape, enterprises are increasingly focused on enhancing their observability stacks to gain deeper insights into their IT environments. Observability has become a cornerstone of modern IT operations, enabling organizations to monitor, diagnose, and optimize their systems with unprecedented precision. However, a critical piece of the puzzle often goes unnoticed in this transformation: IBM i ...

We just surveyed 300 frontend and mobile engineers across 16 countries, and the finding that keeps sticking with me isn't the one about AI. It's this: 74% of engineering teams rate themselves in the "middle" of the observability maturity scale. Not reactive, not strategic. Stuck in the middle. They have dashboards, they have tracing, they have alerts. And yet when something goes wrong, they still can't tell you why ...

In MEAN TIME TO INSIGHT Episode 25, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses  AI's impact on the Wide Area Network (WAN) ... 

Application performance monitoring (APM) dashboards are only as useful as what they are configured to measure. The default setup covers obvious failure modes such as downtime, error spikes, and latency breaches, but it does not cover everything. Some failures produce no alerts or anomalies. The dashboard stays green while users experience a broken product. Here are six signs that is happening ...

The race to deploy AI is largely over. Most enterprises have entered it. The question now is not whether artificial intelligence is running inside the organization. The question is whether anyone is genuinely responsible for what it does. That is not a technical question. It is a leadership one. And most organizations are not yet structured to answer it honestly ...

A new analysis of 250 real-world queries across common retail tasks, such as product pricing, availability, ratings, shipping and specifications, reveals systemic inefficiency at the heart of web-based AI agents. On average, 97.9% of the data retrieved by agents from live web pages is irrelevant to the query being answered. Specifically, the average page ingested ran nearly 9,000 characters, while the average answer was just 32 characters, resulting in a noise-to-signal ratio of 278:1. Price queries were the most extreme outlier, with noise rates approaching 99.5%. That's not a rounding error. That's a structural problem ...

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

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