Industry Leader in Telecom Data Analytics and Revenue Assurance

Telecom operations run on procedures, documentation, and standards. Network design, provisioning, testing, and circuit cutovers all happen thanks to experienced personnel.  What happens when a new person joins the team? How do new employees get up to speed on the correct methods, procedures, and workflows when procedures often live in disconnected manuals, PDFs, binders, and legacy systems?

That’s where ATS comes in helping telecom companies transform scattered documentation into organized, accessible, and actionable knowledge.

You have undoubtedly heard about the 911 outage in Pennsylvania in July.  This is precisely the kind of event that motivated the FCC to issue new directives on  911 monitoring and reporting effective in April.

Sometime last quarter, a controller at a mid-size VoIP provider finished his Form 499 and wondered why the universal service line on every invoice kept inching upward. He had followed the rulebook: apply the FCC’s safe-harbor ratio of 64.9% to VoIP revenue and 37.1% to wireless sales, multiply those totals by the quarterly contribution factor, and remit the money. What he didn’t realize until a traffic study told the real story is that his network sends barely one-third of its traffic across state lines. The other two-thirds never should have been taxed at the interstate rate.

AI: Bridging the Gap for Telecom's Legacy Systems

The telecommunications industry is undergoing a massive transformation, with Artificial Intelligence (AI) leading the charge. For many telecom companies, however, the path to modernization is paved with legacy systems—infrastructure often built decades ago that struggles to keep pace with today's demands.

But here's the good news: AI isn't just for brand-new networks. It's emerging as a powerful solution to help telecom providers modernize operations without a full, disruptive overhaul, effectively bridging the gap between outdated infrastructure and the need for cutting-edge services.

On May 29, 2025, the Denver metro area experienced a critical outage.  Both 911 and non-emergency lines went dark for hours, leaving residents and authorities in limbo and prompting Douglas County Sheriff Darren Weekly to demand answers. While official investigations are underway, a deeper question looms: how would a modernized, resilient 911 infrastructure perform under similar stress?

The Denver case is not an isolated incident.   These outages occur regularly across the US.  At ATS, we believe this exact scenario highlights a vital industry opportunity: using AI and automation to secure emergency communications, even within legacy systems. Here’s how we can help:

The Federal Communications Commission (FCC) has announced a significant hike in the Universal Service Fund (USF) fee factor, which will rise to 34.4% for the third quarter of 2024. This marks a notable increase from previous quarters, reflecting ongoing efforts to sustain and expand the reach of essential telecommunications services across the United States.

Broadband nutrition labels are a game changer for consumers, empowering them to make informed choices based on clear information about advertised speeds versus real-world performance.

However, for ISPs, these labels represent a significant challenge. Meeting the FCC's data requirements for accurate data hinges on reliable testing methodologies.

It doesn't help that the FCC hasn't released a clear framework for speed testing similar to what they did for CAF Performance Testing, nor how they plan to keep ISP's accountable for the speed data they submit.

Without independent, objective performance testing, ISPs risk not only running afoul of regulations but also, more importantly, eroding consumer trust – a critical factor in the increasingly competitive broadband market. 

This blog will dive into the data needed for these labels, and why we think third-party testing is the best solution. 

As society's dependence on telecom services intensifies, so does the surge in data volume generated by Communication Service Providers (CSPs)

Telecommunication networks often rely on a mix of backhaul vendors and technologies to ensure seamless connectivity, efficient data transfer, and robust network performance, thereby meeting the increasing demands of users. While this diversity brings benefits, it also introduces complexities in terms of monitoring, management, and issue resolution. 

Adding to the complexity, the data collected by CSP's from these vendors is sometimes scattered across numerous data lakes with various technology and vendor-proprietary formats. This abundance of data provides little benefit unless providers can extract meaningful insights from the diverse network elements embedded in their backend infrastructure.

In this blog post, we'll unravel the impact a centralized data dashboard such as our Event Storage & Analytics Platform can have in reshaping how telecom providers navigate their data operations.

In the modern hyper-connected world, telecom networks are the backbone of the digital age, keeping us connected in our personal lives and running essential businesses and services. But disruptions like fraud, outages, or dropped calls can cause some serious headaches to both the service provider and their customers.

Traditionally, anomalies within telecom networks were only uncovered at the end of each billing cycle, if detected at all, requiring analysts to comb through seas of data. But now thanks to Machine Learning (ML), we can process and analyze huge stacks of data records to spot trends, detect suspicious outliers, and create connections that humans may have overlooked.

In this blog post, we'll explore how our Event Storage & Analytics Platform (ESAP) puts statistical analysis and machine learning to work for telecom companies, unlocking valuable insights that were previously hidden within their data.

The fourth quarter's contribution factor has been announced by the FCC to be the highest ever at 34.5 percent. How exactly does that affect your Universal Service Fund (USF) fees for this quarter? This post will dive into case examples to demonstrate the potential cost savings achievable through traffic studies.