Fernando Murias, Chairman and CEO of Digital Global Systems (DGS) – Interview Series

Fernando joined Digital Global Systems (DGS) in 2013 from PricewateSecopers where he held many leadership positions in both the United States and Latin America.

Fernando was at the forefront of innovative investment models for the leading matches of the leading technological institutions; It deals with a new partnership using Capex-Light structures; The strategic vision of the work value takes advantage of new technologies and operating structures. In his roles, Fernando has built the value of great business for institutions using unique intellectual property portfolios and innovations emerging in data, analyzes and artificial intelligence.

DGS is the software platform of the next generation for wireless publication that distinguishes a radio frequency environment through multiple dimensions.

By seeing the edge of the network, network operators can cancel RF environments, improve spectrum sharing, and achieve completely 5G aspirations.

How does the awareness platform DGS ‘RF take advantage of artificial intelligence to enhance the management of the spectrum of satellite operators?

In DGS, we have developed our RF awareness platform with one goal in mind: to bring intelligence and the ability to adapt to the way the spectrum is managed – especially in the satellite satellite quickly. Our artificial intelligence technology allows satellite operators to obtain a comprehensive and comprehensive vision to use the spectrum, discover, reduce interference and improve the performance of the network dynamically. In a space environment, it has become increasingly crowded-especially with the emergence of direct services to the device-the statute in which artificial intelligence works is provided efficiently, the overlap is reduced, and the reliability of the service is reduced.

What are the specific artificial intelligence techniques used in consciousness, wireless frequency to analyze and reduce overlap in crowded spectrum environments?

We take advantage of a mixture of patented machine learning and independent inference techniques to analyze the RF environment. Specifically, we use identification of patterns and automatic inference forms of the machine to birth to detect interference signatures, classifying the types of signals, and provide recommendations to adjust the dynamic network parameters such as frequency customizations and energy levels. This allows satellite operators to respond in the actual time of crowding and overlap, ensuring the optimal performance even in crowded spectrum environments.

Can you explain how to know the identification of the patterns driven by artificial intelligence, sign quality and network reliability in satellite communications?

The identification of patterns lies in the heart of how to enhance satellite communications. Our platform determines repeated interference events, signal degradation patterns and other abnormal cases across more than 50 signal properties. By learning from these patterns, our artificial intelligence system can proactively improve the network – modification parameters before the appearance of performance problems. This not only improves signal quality, but also increases the reliability and availability of communications, which is crucial for institutions and consumers, especially military applications.

How artificial intelligence improves computing efficiency on board to reduce processing requirements for direct satellite links to the D2D?

The patented artificial intelligence techniques reduce the arithmetic burden required to create and maintain D2D links by 25 % to 40 %. We accomplish this by simplifying the training groups used by our artificial intelligence models and applying independent inference methods that reduce the need for raw treatment on the satellite. This results in low energy consumption, low thermal load, and longer satellite age-which makes our solution not only smarter but more sustainable for space-based D2D services.

What role does the instrument to the machine play in the DGS ‘AI technology to manage the spectrum?

Automated inference from the machine to the machine is the cornerstone of our technique. With more than 100 patents covering this possibility (from 320 patents issued), we enabled our platform to work without fixed human supervision. It can explain the use of the spectrum, the discovery of abnormal conditions, the prediction of overlap, and the decisions in the actual time to improve performance. This type of smart autonomy is necessary for future satellite networks, which must adapt quickly and work reliably under very dynamic conditions.

With the increase in congestion in the low Earth’s orbit (LEO), how does it ensure that uninterrupted and developed communications are aware?

Liu has become a loud square – with thousands of satellites and millions of users. The awareness platform in wireless frequencies helps satellite players to prosper in this environment by providing continuous RF monitoring, mitigating overlap, and improving the dynamic spectrum. By setting up signal parameters in the actual time and providing granular awareness of the conditions of the spectrum, we have enabled the operators to expand their services without prejudice to quality or reliability. In short, we help them move in congestion – and turn it into an opportunity.

How to improve the spectrum analysis by artificial intelligence, consciousness and communications in military applications?

In defense environments, the reliability of communications can be a matter of life and death. The analysis of the spectrum of Amnesty International enables military operators to maintain circumstantial awareness even in the disputed or deteriorating environments. Through the continuous analysis of the electromagnetic spectrum and the discovery of interference – including potential jamming attempts – its own platform provides practical intelligence that enhances both flexibility and tactical advantage. The ability to discover, classify and ease threats independently is a change in modern military operations.

Since artificial intelligence becomes more integral than satellite processes, what is the future progress that DGS expects to manage the independent satellite network?

In the future, we see satellite networks with the lowest human intervention. This not only means self -performance of interference and independently reduced interference, but also independent provision services, with adaptation to organizational changes, and even coordination of satellite delivery to terrorism in actual time. Our technology sets the basis for these developments – which leads to the establishment of smart, adaptive and safe satellite networks that expand with demand and work efficiently through multiple areas.

How to support the same AI’s RF awareness of the LEO satellite with 5G networks?

Smooth integration between satellites and earthly 5G is necessary to expand coverage and achieve real global communication. Our RF awareness platform guarantees that satellite systems can coexist with ground networks by managing a dynamic spectrum, identifying and alleviating cross -network overlap, and improving signal properties of hybrid environments. This is particularly important in the urban and high areas that revolve around it where the use of the spectrum is very dense and variable.

What methods can help AI’s RF spectrum management to treat the scarcity of the spectrum in the satellite telecommunications market?

Special is a limited resource, and its effective use is one of the biggest challenges facing our industry. This AI’s arterial system is treated by enabling dynamic spectrum sharing, actual time improvement, and reducing smart overlap. These capabilities allow operators to extract the maximum value of the available spectrum – support more users, more devices, and more services without the need for an additional frequency range. With the continued growth of the market, this type of smart management will be the key to launching new capabilities and maintaining long -term growth.

Thank you for the wonderful interview, readers who want to know more to visit Digital Global systems.