Fernando joined Pricewaterhousecoopers’ Digital Global System (DGS) in 2013, and has held several leadership positions in the United States and Latin America.
Fernando has been at the forefront of innovative investment models pursued by leading technology companies; novel partnerships using CAPEX-LIGHT structure transactions; and a strategic vision to leverage the business value of new technologies and operational structures. Fernando has built significant business value in his role using a unique portfolio of intellectual property and emerging data, analytics and AI innovations.
DGS is a next-generation software platform for wireless deployment, characterizing RF environments across multiple dimensions.
Visibility at the edge of the network allows network operators to eliminate conflicting RF environments, optimize spectrum sharing and fully realize their 5G ambitions.
How does DGS’ RF awareness platform leverage AI to enhance spectral management for satellite operators?
At DGS, we have developed a goal: bringing intelligence and adaptability into the management of spectrum, especially in the rapidly developing satellite domain, to bring intelligence and adaptability into one goal. Our AI technology enables satellite operators to provide real-time, comprehensive views of spectrum usage, detect and mitigate interference, and dynamically optimize network performance. In an increasingly crowded space environment, especially with the rise of direct equipment services, our AI-powered platform ensures efficient use of spectrum, minimizes interference and maximizes service reliability.
In RF awareness, what specific AI technologies are used to analyze and mitigate interference to congested environments?
We use a combination of patented machine learning and autonomous inference techniques to analyze the RF environment. Specifically, we use pattern recognition and autonomous driving machines to detect interference signatures, classify signal types, and make recommendations to dynamically adjust network parameters such as beamforming, frequency allocation, and power levels. This allows satellite operators to respond to congestion and interference in real time, ensuring optimal performance even in crowded spectral environments.
Can you explain how AI-driven pattern recognition improves signal quality and network reliability in satellite communications?
Pattern recognition is at the heart of how we can enhance satellite communications. Our platform identifies repetitive interference events, signal degradation patterns, and other anomalies of over 50 signal characteristics. By learning from these patterns, our AI system can proactively optimize the network – adjusting parameters before performance issues arise. This not only improves signal quality, but also improves the reliability and availability of communications, which is crucial for businesses, consumers, and especially military applications.
How does AI optimize on-machine computing efficiency to reduce processing requirements for direct device (D2D) satellite links?
Our patented AI technology reduces the computational burden of establishing and maintaining D2D links by 25% to 40%. We achieve this by simplifying the training set used by AI models and applying autonomous inference methods, thus minimizing the need for raw processing on the satellite board. This results in reduced power consumption, reduced thermal load and longer satellite lifespan – making our solutions not only smarter, but also more sustainable for space D2D services.
What role does autonomous machines-to-machine reasoning play in DGS’s AI technology?
Automatic machine-to-machine reasoning is the cornerstone of our technology. With over 100 patents covering this feature (our 320 issued patents), we enable our platform to operate without constant human supervision. It can explain spectrum usage, detect anomalies, predict interference, and make real-time decisions to optimize performance. This intelligent autonomy is crucial to the satellite network of the future, which must adapt quickly and operate reliably under highly dynamic conditions.
As congestion in Low Earth Orbit (LEO) continues to grow, how can RF awareness ensure uninterrupted and scalable satellite communications?
Leo is becoming a bustling arena – with thousands of satellites and millions of users. Our RF awareness platform helps satellite operators thrive in this environment by providing continuous RF monitoring, mitigating interference and dynamic spectrum optimization. By fine-tuning signal parameters in real time and providing granular awareness of spectral conditions, we enable operators to extend their services without compromising quality or reliability. In short, we help them browse the congestion and turn it into opportunities.
How does AI-driven spectrum analysis improve situational awareness and communication in military applications?
Communication reliability can be a matter of life and death in a defense environment. Our AI-driven spectrum analysis enables military operators to remain context-aware even in controversial or degraded environments. By continuously analyzing the electromagnetic spectrum and detecting interference (including potential blocking attempts), our platform provides viable intelligence that enhances resilience and tactical advantages. The ability to detect, classify and mitigate threats in real time is the game changer of modern military operations.
As artificial intelligence is indispensable to satellite operations, what future progress has DGS foreseeed in automatic satellite network management?
We see a future where satellite networks operate with minimal human intervention. This not only means self-optimized performance and mitigation of interference autonomy, but also provides services independently, adapt to regulatory changes, and even real-time planning of satellite-to-satellite handover. Our technology lays the foundation for these advancements to enable intelligent, adaptive and secure satellite networks that expand with demand and operate effectively in multiple domains.
How does AI-powered RF awareness support the integration of Leo satellites and ground 5G networks?
Seamless integration between satellite and 5G on the terrestrial is crucial to extend coverage and achieve true global connectivity. Our RF awareness platform ensures that satellite systems can coexist with terrestrial networks by dynamically managing spectrum, identifying and mitigating cross-network interference and optimizing signal characteristics in hybrid environments. This is especially important in cities and high flow areas where spectrum usage is dense and varies.
How does AI-powered RF spectrum management help solve spectral scarcity in the extended satellite communications market?
Spectrum is a limited resource and its effective use is one of the biggest challenges facing our industry. Our AI-driven platform solves this problem by enabling dynamic spectrum sharing, real-time optimization and intelligent intervention mitigation. These features allow operators to extract maximums from the available spectrum – supporting more users, more devices and more services without additional bandwidth. As the market continues to grow, this intelligent management will be the key to unlocking new capabilities and maintaining long-term growth.
Thank you for your excellent interview and hopefully learn more about the readers who should visit the Digital Global System.
