Fernando joined Digital Global Systems (DGS) in 2013 from PriceWaterhouseCoopers where he held several leadership positions in both the United States and Latin America.
Fernando has been at the forefront of innovative investment models for leading-edge technology enterprise pursuits; novel partnership deals using CAPEX-light structures; and strategic vision of business value leveraging new technologies and operating constructs. In his roles, Fernando has build significant enterprise business value using unique intellectual property portfolios and emerging innovations in data, analytics and artificial intelligence.
DGS is a next-gen software platform for wireless deployments that characterizes the Radio Frequency environment across multiple dimensions.
With visibility at the network edge, network operators can de-conflict RF environments, optimize spectrum sharing, and fully realize their 5G ambitions.
How does DGS’ RF Awareness platform leverage AI to enhance spectrum management for satellite operators?
At DGS, we’ve developed our RF Awareness platform with one goal in mind: to bring intelligence and adaptability to the way spectrum is managed—especially in the rapidly evolving satellite domain. Our AI technology enables satellite operators to gain a real-time, comprehensive view of spectrum usage, detect and mitigate interference, and dynamically optimize network performance. In a space environment that’s becoming increasingly congested—particularly with the rise of direct-to-device services—our AI-powered platform ensures that spectrum is used efficiently, interference is minimized, and service reliability is maximized.
What specific AI techniques are used in RF Awareness to analyze and mitigate interference in congested spectrum environments?
We leverage a combination of patented machine learning and autonomous inference techniques to analyze the RF environment. Specifically, we use pattern recognition and autonomous machine-to-machine inference models to detect interference signatures, classify signal types, and make recommendations to dynamically adjust network parameters such as beamforming, frequency allocations, and power levels. This allows satellite operators to respond in real time to congestion and interference, ensuring optimal performance even in crowded spectrum environments.
Can you explain how AI-driven pattern recognition improves signal quality and network reliability in satellite communications?
Pattern recognition lies at the heart of how we enhance satellite communications. Our platform identifies recurring interference events, signal degradation patterns, and other anomalies across more than 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 increases the reliability and availability of communications, which is critical for enterprise, consumer, and especially military applications.
How does AI optimize on-board computing efficiency to reduce processing requirements for direct-to-device (D2D) satellite links?
Our patented AI techniques reduce the computational burden required to establish and maintain D2D links by 25% to 40%. We accomplish this by streamlining the training sets used by our AI models and applying autonomous inference methods that minimize the need for raw processing on-board the satellite. This results in lower power consumption, reduced thermal load, and longer satellite lifespan—making our solution not only smarter but more sustainable for space-based D2D services.
What role does autonomous machine-to-machine inference play in DGS' AI technology for spectrum management?
Autonomous machine-to-machine inference is a cornerstone of our technology. With over 100 patents covering this capability (of our 320 issued patents), we’ve enabled our platform to operate without constant human oversight. It can interpret spectrum usage, detect anomalies, predict interference, and make real-time decisions to optimize performance. This kind of intelligent autonomy is essential for future satellite networks, which must adapt quickly and operate reliably under highly dynamic conditions.
With the growing congestion in low Earth orbit (LEO), how does 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 delivering continuous RF monitoring, interference mitigation, and dynamic spectrum optimization. By fine-tuning signal parameters in real time and providing granular awareness of spectrum conditions, we empower operators to scale their services without compromising quality or reliability. In short, we help them navigate the congestion—and turn it into opportunity.
How does AI-driven spectrum analysis improve situational awareness and communications for military applications?
In defense environments, communications reliability can be a matter of life or death. Our AI-powered spectrum analysis enables military operators to maintain situational awareness even in contested or degraded environments. By continuously analyzing the electromagnetic spectrum and detecting interference—including potential jamming attempts—our platform provides actionable intelligence that enhances both resilience and tactical advantage. The ability to autonomously detect, classify, and mitigate threats in real time is a game-changer for modern military operations.
As AI becomes more integral to satellite operations, what future advancements does DGS foresee in autonomous satellite network management?
We see a future where satellite networks operate with minimal human intervention. That means not only self-optimizing performance and mitigating interference autonomously, but also autonomously provisioning services, adjusting to regulatory changes, and even orchestrating satellite-to-terrestrial handoffs in real time. Our technology lays the foundation for these advancements—enabling intelligent, adaptive, and secure satellite networks that scale with demand and operate efficiently across multiple domains.
How does AI-powered RF Awareness support the integration of LEO satellites with terrestrial 5G networks?
Seamless integration between satellites and terrestrial 5G is essential for extending coverage and achieving 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 for hybrid environments. This is especially critical in urban and high-traffic areas where spectrum use is dense and highly variable.
In what ways can AI-driven RF spectrum management help address spectrum scarcity in the expanding satellite communications market?
Spectrum is a finite resource, and its efficient use is one of the biggest challenges facing our industry. Our AI-driven platform addresses this by enabling dynamic spectrum sharing, real-time optimization, and intelligent interference mitigation. These capabilities allow operators to extract maximum value from the available spectrum—supporting more users, more devices, and more services without needing additional bandwidth. As the market continues to grow, this kind of intelligent management will be the key to unlocking new capacity and sustaining long-term growth.
Thank you for the great interview, readers who wish to learn more should visit Digital Global Systems.
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