
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.
The Latest
For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...
Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...
Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...
Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...
Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...
AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...
More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...
In MEAN TIME TO INSIGHT Episode 21, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AI-driven NetOps ...
Enterprise IT has become increasingly complex and fragmented. Organizations are juggling dozens — sometimes hundreds — of different tools for endpoint management, security, app delivery, and employee experience. Each one needs its own license, its own maintenance, and its own integration. The result is a patchwork of overlapping tools, data stuck in silos, security vulnerabilities, and IT teams are spending more time managing software than actually getting work done ...
2025 was the year everybody finally saw the cracks in the foundation. If you were running production workloads, you probably lived through at least one outage you could not explain to your executives without pulling up a diagram and a whiteboard ...