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Infovista Launches TEMS Cloud

Infovista launched TEMS™ Cloud, its new cloud-native network testing orchestration and analytics solution.

TEMS Cloud transforms the drive testing process from being engineering-driven to AI/ML data-driven, from manual to automated and from an activity very few can do to something that can be done by anyone. The solution allows a single highly-skilled engineer to manage many more projects centrally from the back-office, while automation and guidance allow people with no specialist testing or RF skills to conduct the testing in the field. This significantly reduces the time and cost of network testing projects.

TEMS Cloud enables network engineers to create multiple work orders containing test routines and drive routes and distribute these to field test teams across the country. By monitoring testing progress in real-time, engineers at HQ can address any testing issues while field teams are still on-site. Standardized ‘definition of done’ criteria ensure testing is aligned across teams and testers know when their testing is complete, reducing the need for time-consuming and costly repeat visits. TEMS Cloud analyzes the captured data in near real-time and creates the relevant reports and dashboards, storing all logfiles in a central repository so they can be leveraged by other engineers for further insights, avoiding the need for additional energy-consuming drive tests.

“The challenge with the old way of doing things was individual highly-skilled engineers conducted siloed network testing. They used their own approach, methodology and scripts,” said Regis Lerbour, VP Product, Network Testing and RAN Engineering at Infovista. “They also spent a large amount of their valuable time in a car collecting measurements, only analyzing the results once they were back in the office. 5G demands a next-generation approach to network testing. TEMS Cloud enables engineers to focus on managing nationwide testing projects and analyzing results, not driving around the country collecting test data.”

For analytics and reporting, TEMS Cloud provides dashboards that are aimed at specific user groups ranging from C-level to engineering. Integrating with Tableau, PowerBI and Grafana, engineers can leverage detailed analytics-focused dashboards for troubleshooting and optimization while senior management can track 5G network rollout progress, KPIs and performance benchmarked against competitors.

TEMS Cloud is powered by Infovista’s cloud-native NLA Cloud Platform which provides common telco-specific functions such as automation, analytics, and data correlation engines to power Infovista solutions across the entire network lifecycle, including Planet AI-driven RF network planning, TEMS™ network testing solutions and the Ativa™ Suite of applications for automated assurance and operations.

The NLA Cloud Platform™ unifies network planning, testing, and automated assurance and operations and breaks the limitation of traditional siloed-solution approaches. This brings greater use case innovation, agility, and interoperability for CSPs’, unlocking new cross-cycle processes such as Precision Drive Testing™, which leverages 5G network, service and customer data, and ML/AI techniques to increase the speed and accuracy of 5G testing. The data-driven and automated network testing solution supports a wide range of network-testing scenarios, from new site verification to user-experience validation.

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Infovista Launches TEMS Cloud

Infovista launched TEMS™ Cloud, its new cloud-native network testing orchestration and analytics solution.

TEMS Cloud transforms the drive testing process from being engineering-driven to AI/ML data-driven, from manual to automated and from an activity very few can do to something that can be done by anyone. The solution allows a single highly-skilled engineer to manage many more projects centrally from the back-office, while automation and guidance allow people with no specialist testing or RF skills to conduct the testing in the field. This significantly reduces the time and cost of network testing projects.

TEMS Cloud enables network engineers to create multiple work orders containing test routines and drive routes and distribute these to field test teams across the country. By monitoring testing progress in real-time, engineers at HQ can address any testing issues while field teams are still on-site. Standardized ‘definition of done’ criteria ensure testing is aligned across teams and testers know when their testing is complete, reducing the need for time-consuming and costly repeat visits. TEMS Cloud analyzes the captured data in near real-time and creates the relevant reports and dashboards, storing all logfiles in a central repository so they can be leveraged by other engineers for further insights, avoiding the need for additional energy-consuming drive tests.

“The challenge with the old way of doing things was individual highly-skilled engineers conducted siloed network testing. They used their own approach, methodology and scripts,” said Regis Lerbour, VP Product, Network Testing and RAN Engineering at Infovista. “They also spent a large amount of their valuable time in a car collecting measurements, only analyzing the results once they were back in the office. 5G demands a next-generation approach to network testing. TEMS Cloud enables engineers to focus on managing nationwide testing projects and analyzing results, not driving around the country collecting test data.”

For analytics and reporting, TEMS Cloud provides dashboards that are aimed at specific user groups ranging from C-level to engineering. Integrating with Tableau, PowerBI and Grafana, engineers can leverage detailed analytics-focused dashboards for troubleshooting and optimization while senior management can track 5G network rollout progress, KPIs and performance benchmarked against competitors.

TEMS Cloud is powered by Infovista’s cloud-native NLA Cloud Platform which provides common telco-specific functions such as automation, analytics, and data correlation engines to power Infovista solutions across the entire network lifecycle, including Planet AI-driven RF network planning, TEMS™ network testing solutions and the Ativa™ Suite of applications for automated assurance and operations.

The NLA Cloud Platform™ unifies network planning, testing, and automated assurance and operations and breaks the limitation of traditional siloed-solution approaches. This brings greater use case innovation, agility, and interoperability for CSPs’, unlocking new cross-cycle processes such as Precision Drive Testing™, which leverages 5G network, service and customer data, and ML/AI techniques to increase the speed and accuracy of 5G testing. The data-driven and automated network testing solution supports a wide range of network-testing scenarios, from new site verification to user-experience validation.

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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 ...

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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 ...

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