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Beegol, a global software innovator that uses sophisticated machine learning to automatically detect, diagnose and geolocate problems, is expanding its global reach by integrating its telemetry agent with the RDK software platform and joining the RDK Technical Advisory Board (RTAB). This new integration is designed to greatly reduce the time and cost for operators to trial and implement the Beegol telemetry agent on devices running current and future versions of RDK software.
RDK is an open-source software platform that standardizes core functions used in video, broadband, and IoT-connected devices. By standardizing these functions, service providers can develop and deploy applications and services, independent of hardware platforms. RDK enables service providers to control their device diagnostics’ data, business models, and apps to improve the customer experience and drive better business results.
Beegol’s machine-learning platform for broadband networks implements state-of-the-art diagnostics and self-healing capabilities from the Access, Transport, Gateway and Applications layers on 5G, DOCSIS, and GPON networks. The integration of Beegol with RDK will strengthen the community’s diagnostics capabilities over a broader range of technologies and provide operators with a highly effective platform to identify, triage, and solve issues that directly impact network performance and operation costs.
“Our relationship with RDK will provide the community with a software-based, hardware-agnostic, machine-learning platform that can identify problems within the end-to-end network in real time and keeps the network data in the hands of the operators,” said Gilberto Mayor, Beegol CEO, chief scientist and co-founder.
“The RDK integration enables us to reach a much larger customer base in the Americas and Europe with a plug-and-play platform that provides minimum integration impact. And Beegol’s telemetry agent allows operators to maximize the ROI from the billions of dollars of R&D they spend to increase network bandwidth, enhance the quality of experience for consumers, and create their highly sophisticated modems that are more like supercomputers today,” said Charles Hong, Beegol CSO and co-founder.
Beegol’s combination of deep network expertise and AI prowess has allowed it to develop a diagnostic and self-healing machine-learning platform driven by a first-of-its-kind telemetry-command agent that is integrated into a broadband gateway that collects real-time data anywhere in the network. The platform can identify broadband problems in the home and within the end-to-end network, which can help operators solve real-time issues, increase network reliability, and reduce unproductive truck rolls.
“Beegol is highly regarded for providing end-to-end network diagnostics solutions based on machine learning, and we’re delighted to have them bring this new innovation to the RDK community and join our RDK Technology Advisory Board,” said Jason Briggs, President and General Manager of RDK. “We look forward to their continued efforts to help broadband service providers throughout the RDK community use machine learning and RDK to provide an enhanced broadband experience.”
original post: https://rdkcentral.com/beegol-joins-rdk-technical-advisory-board/
Beegol is a game changer as far as ensuring consistent, high-quality internet uptime is concerned.
Due to the many moving parts in how the internet is delivered and consumed, connectivity issues can stem from anywhere. They can pertain to a faulty app, an older gadget, coverage inside Wi- Fi premises, last-mile access, the transport network, or even NOCs and servers. Nonetheless, they all translate to poor connectivity and dissatisfaction among consumers. ISPs struggle to pinpoint the root cause of the issues. Failing to gauge if the problem at hand is beyond their scope, they may make wrong assumptions that waste time and resources. For instance, many ISPs follow the practice of arbitrarily replacing the modem to see if the issue gets fixed or issuing truck rolls to the consumer’s location without adequately understanding the root cause of the problem.
The root cause for making such inept measures stems from the lack of end-to-end visibility into the internet delivery mechanism they profess. The best-case scenario of most ISPs today is they’re equipped with a Wi-Fi management system, which is a barely significant portion of the internet services delivery equation.
“Beegol provides an end-to-end diagnostic and machine learning platform for broadband and Wi-Fi networks. This helps ISPs gain real-time operational insights, triage problems and orchestrate automated self-healing of network-related problems. The solutions allow operators to reduce operational costs, increase network reliability, and improve customer Quality of Experience (QoE),” says Gilberto Mayor, Ph.D., co-founder and CEO, Beegol.
Beegol leverages cutting-edge machine learning algorithms to identify connectivity issues in real time and relay the root cause to ISPs, enabling them to proactively undertake remediation measures. The algorithms are already trained out of the box, and Beegol continues feeding them with new use cases to learn from. In addition to cutting down customer service calls by up to 50 percent, ISPs can immediately convey the reason for connectivity issues to their clients.
Beegol’s ML algorithms is driven by data gathered from the modem. Beegol integrate its telemetry agent into the CPE so that it can get any data, anytime anywhere. The agent is also programmable to change frequency and reach of the data gathered depending on the use case. It can be easily integrated into the modem chips and relay all data in complete ownership of the ISPs. They can leverage the analytics via Beegol’s cloud or their hosted cloud. Interestingly, Beegol has already integrated its ML algorithms into the RDK platform that powers many modems in the market. Beegol platform is completely software driven and hardware agnostic.
“Beegol provides an end-to-end diagnostic and machine learning platform for broadband and Wi-Fi networks”
From uncovering channel interferences, coverage problems, and CPE issues on the Wi-Fi side to gauging the performance of building wiring, TAP/ CTO, amplifier, splitter, and more on the broadband side, Beegol’s solution does it all on both Docsis and GPON networks.. On the transport and server side, the solution can detect all latency, availability, and congestion issues at individual or collective levels. It can scale to millions of devices and can be integrated into CPEs via firmware upgrades. Proactively identifying root causes, Beegol enables ISPs to reroute around unproductive measures like truck rolls while allowing them to speed up remediation by pinpointing the areas facing issues.
“We do what we call the triage, where we not only identify the problem but geolocate it and send relevant information to the right area for the ISP to get involved in and improve coordination among the concerned areas. We can reduce truck rolls by 10 to 25 percent,” adds Mayor.
An end-to-end internet connectivity diagnostic and self-healing platform, Beegol is working on reinventing its solution for the fixed wire 5G space. In an era where a good quality internet connection is becoming the basic standard, Beegol is a must-have solution for ISPs.
original post: https://www.cioreview.com/beegol
Internet Service Providers (ISPs) across Latin America will be able to obtain a quick and reliable diagnosis of their subscriber’s internet service issues due to an exciting partnership between the prpl Foundation and Beegol for Wi-Fi mesh.
Millions of people across the world require a highly reliable broadband service for their homes, especially with the rise of remote working environments. Any connection problems such as performance degradation or outages will quickly erode customer satisfaction with their ISPs. In many cases it is difficult to locate the root source of an issue quickly and accurately, leading to unproductive calls to customer support centers, unnecessary repair visits, and increased costs for the operator.
To this end, Beegol has developed an advanced Machine Learning platform, integrated with prplMesh Wi-Fi software, to carry out accurate diagnostic tests on an end user’s network. The Beegol solution allows ISPs to pull data directly from prplMesh-equipped customer premises equipment (CPE) to the cloud to locate and identify outages and service degradation. This is then used by ISPs to enable a remote, real-time response from end to end, to correct any issues detected through the observations. The result is a reduction in truck rolls and operating expenses for the operator, and an improved Quality of Experience (QoE) for the end user.
“We are delighted that Beegol has partnered with the prpl Foundation to support their ongoing activity across Latin America”, said prpl Foundation President Dr. Leonard Dauphinee. “As a result of their innovative platform, the quality of experience for broadband and Wi-Fi users has been vastly improved, with no need for lengthy, unproductive calls to a customer support team in order to troubleshoot their issues”.
The prplMesh solution will be used to support Beegol Wi-Fi, which automatically optimizes configurations and enables customers to utilize Wi-Fi mesh. Designed by the prpl Foundation, prplMesh enables ISPs to deploy fully open-source, carrier grade Wi-Fi mesh networks, including standardized application programming interfaces (APIs). It enables quick deployment of new services and features with better interoperability than previously available.
“The prpl Foundation is an industry leader when it comes to Wi-Fi mesh technology”, said Beegol Founder and CEO Gilberto Mayor. “prplMesh is a proven, hardware-agnostic solution that has already been successfully deployed in the field. Offering prpl Mesh alongside our diagnostic software will provide operators with a customizable and cost-effective solution that enables the accurate testing of networks”.
ENDS
About the prpl Foundation
The prpl Foundation is a collaborative open-source community dedicated to open APIs and open industry standards, focusing on carrier-grade software for broadband customer premise equipment as specified by operator members. The prpl Foundation brings together service providers, original equipment manufacturers, system integrators, chip vendors and application developers to harmonize home network architecture, then commonizes a reference implementation of standardized open-source infrastructure built atop open APIs and open industry standards. prpl enables a service delivery ecosystem including innovative third-party applications that can be quickly and easily deployed across different CPE platforms.
About Beegol
Beegol is an American company carrying out research and development in the United States and software development in Brazil. Founded in 2019, Beegol has developed the concept and architecture of the first broadband diagnostic software based on machine learning. With a presence across Latin America, Europe and Asia, the company has one clear mission statement: that a customer should never have to call customer support to complain about their broadband and Wi-Fi issues.
original post: https://prplfoundation.org/prpl-foundation-and-beegol-partner-to-enable-real-time-accurate-diagnoses-for-wi-fi-users/
Internet service providers (ISPs) across Latin America will be able to obtain a quick diagnosis of their subscribers’ internet service problems due to a partnership between the Prpl Foundation and Beegol for wifi mesh.
São Paulo-based Beegol is carrying out research and development in the USA and software development in Brazil. Its machine-learning platform can monitor and improve the quality for broadband and wifi users
Millions of people across the world require a reliable broadband service for their homes, especially with the rise of remote working environments. Any connection problems such as performance degradation or outages will quickly erode customer satisfaction with their ISPs. In many cases it is difficult to locate the root source of an issue quickly and accurately, leading to unproductive calls to customer support centres, unnecessary repair visits and increased costs for the operator.
To this end, Beegol has developed a machine-learning platform, integrated with PrplMesh wifi software, to carry out accurate diagnostic tests on an end user’s network. It allows ISPs to pull data directly from PrplMesh-equipped customer premises equipment (CPE) to the cloud to locate and identify outages and service degradation.
This can then be used by ISPs to enable a remote, real-time response from end to end, to correct any issues detected through the observations. The result is a reduction in truck rolls and operating expenses for the operator, and an improved quality of experience (QoE) for the end user.
“We are delighted that Beegol has partnered with the Prpl Foundation to support their ongoing activity across Latin America,” said Prpl Foundation president Leonard Dauphinee. “As a result of their innovative platform, the quality of experience for broadband and wifi users has been vastly improved, with no need for lengthy, unproductive calls to a customer support team in order to troubleshoot their issues.”
The PrplMesh offering will be used to support Beegol wifi, which automatically optimises configurations and enables customers to use wifi mesh. PrplMesh lets ISPs deploy fully open-source, carrier grade wifi mesh networks, including standard application programming interfaces (APIs). It enables quick deployment of services and features with better interoperability.
“The Prpl Foundation is an industry leader when it comes to wifi mesh technology,” said Beegol CEO Gilberto Mayor. “PrplMesh is a proven, hardware-agnostic option that has already been successfully deployed in the field. Offering PrplMesh alongside our diagnostic software will provide operators with a customisable and cost-effective solution that enables the accurate testing of networks”.
The Prpl Foundation is a collaborative open-source community dedicated to open APIs and open industry standards, focusing on carrier-grade software for broadband customer premise equipment as specified by operator members. The foundation brings together service providers, manufacturers, system integrators, chip vendors and application developers to harmonise home network architecture.
Founded in 2019, Beegol has developed the concept and architecture of the first broadband diagnostic software based on machine learning. With a presence across Latin America, Europe and Asia, the company believes a customer should never have to call customer support to complain about their broadband and wifi.
original post: https://www.iotm2mcouncil.org/iot-library/news/smart-building-construction-news/beegol-turns-prpl-to-improve-latin-american-wifi/
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