Fernando Murias, Chairman And Ceo Of Digital Global Systems (dgs) – Interview Series

Fernando joined Digital Global Systems (DGS) successful 2013 from PriceWaterhouseCoopers wherever he held respective activity positions successful some nan United States and Latin America.

Fernando has been astatine nan forefront of innovative finance models for leading-edge exertion endeavor pursuits; caller business deals utilizing CAPEX-light structures; and strategical imagination of business worth leveraging caller technologies and operating constructs. In his roles, Fernando has build important endeavor business worth utilizing unsocial intelligence spot portfolios and emerging innovations successful data, analytics and artificial intelligence.

DGS is simply a next-gen package level for wireless deployments that characterizes nan Radio Frequency situation crossed aggregate dimensions.

With visibility astatine nan web edge, web operators tin de-conflict RF environments, optimize spectrum sharing, and afloat recognize their 5G ambitions.

How does DGS’ RF Awareness level leverage AI to heighten spectrum guidance for outer operators?

At DGS, we’ve developed our RF Awareness level pinch 1 extremity successful mind: to bring intelligence and adaptability to nan measurement spectrum is managed—especially successful nan quickly evolving outer domain. Our AI exertion enables outer operators to summation a real-time, broad position of spectrum usage, observe and mitigate interference, and dynamically optimize web performance. In a abstraction situation that’s becoming progressively congested—particularly pinch nan emergence of direct-to-device services—our AI-powered level ensures that spectrum is utilized efficiently, interference is minimized, and work reliability is maximized.

What circumstantial AI techniques are utilized successful RF Awareness to analyse and mitigate interference successful congested spectrum environments?

We leverage a operation of patented instrumentality learning and autonomous conclusion techniques to analyse nan RF environment. Specifically, we usage shape nickname and autonomous machine-to-machine conclusion models to observe interference signatures, categorize awesome types, and make recommendations to dynamically set web parameters specified arsenic beamforming, wave allocations, and powerfulness levels. This allows outer operators to respond successful existent clip to congestion and interference, ensuring optimal capacity moreover successful crowded spectrum environments.

Can you explicate really AI-driven shape nickname improves awesome value and web reliability successful outer communications?

Pattern nickname lies astatine nan bosom of really we heighten outer communications. Our level identifies recurring interference events, awesome degradation patterns, and different anomalies crossed much than 50 awesome characteristics. By learning from these patterns, our AI strategy tin proactively optimize nan network—adjusting parameters earlier capacity issues arise. This not only improves awesome value but besides increases nan reliability and readiness of communications, which is captious for enterprise, consumer, and particularly subject applications.

How does AI optimize on-board computing ratio to trim processing requirements for direct-to-device (D2D) outer links?

Our patented AI techniques trim nan computational load required to found and support D2D links by 25% to 40%. We execute this by streamlining nan training sets utilized by our AI models and applying autonomous conclusion methods that minimize nan request for earthy processing on-board nan satellite. This results successful little powerfulness consumption, reduced thermal load, and longer outer lifespan—making our solution not only smarter but much sustainable for space-based D2D services.

What domiciled does autonomous machine-to-machine conclusion play successful DGS' AI exertion for spectrum management?

Autonomous machine-to-machine conclusion is simply a cornerstone of our technology. With complete 100 patents covering this capacity (of our 320 issued patents), we’ve enabled our level to run without changeless quality oversight. It tin construe spectrum usage, observe anomalies, foretell interference, and make real-time decisions to optimize performance. This benignant of intelligent autonomy is basal for early outer networks, which must accommodate quickly and run reliably nether highly move conditions.

With nan increasing congestion successful debased Earth orbit (LEO), really does RF Awareness guarantee uninterrupted and scalable outer communications?

LEO is becoming a bustling arena—with thousands of satellites and millions of users. Our RF Awareness level helps outer operators thrive successful this situation by delivering continuous RF monitoring, interference mitigation, and move spectrum optimization. By fine-tuning awesome parameters successful existent clip and providing granular consciousness of spectrum conditions, we empower operators to standard their services without compromising value aliases reliability. In short, we thief them navigate nan congestion—and move it into opportunity.

How does AI-driven spectrum study amended situational consciousness and communications for subject applications?

In defense environments, communications reliability tin beryllium a matter of life aliases death. Our AI-powered spectrum study enables subject operators to support situational consciousness moreover successful contested aliases degraded environments. By continuously analyzing nan electromagnetic spectrum and detecting interference—including imaginable jamming attempts—our level provides actionable intelligence that enhances some resilience and tactical advantage. The expertise to autonomously detect, classify, and mitigate threats successful existent clip is simply a game-changer for modern subject operations.

As AI becomes much integral to outer operations, what early advancements does DGS foresee successful autonomous outer web management?

We spot a early wherever outer networks run pinch minimal quality intervention. That intends not only self-optimizing capacity and mitigating interference autonomously, but besides autonomously provisioning services, adjusting to regulatory changes, and moreover orchestrating satellite-to-terrestrial handoffs successful existent time. Our exertion lays nan instauration for these advancements—enabling intelligent, adaptive, and unafraid outer networks that standard pinch request and run efficiently crossed aggregate domains.

How does AI-powered RF Awareness support nan integration of LEO satellites pinch terrestrial 5G networks?

Seamless integration betwixt satellites and terrestrial 5G is basal for extending sum and achieving existent world connectivity. Our RF Awareness level ensures that outer systems tin coexist pinch terrestrial networks by dynamically managing spectrum, identifying and mitigating cross-network interference, and optimizing awesome characteristics for hybrid environments. This is particularly captious successful municipality and high-traffic areas wherever spectrum usage is dense and highly variable.

In what ways tin AI-driven RF spectrum guidance thief reside spectrum scarcity successful nan expanding outer communications market?

Spectrum is simply a finite resource, and its businesslike usage is 1 of nan biggest challenges facing our industry. Our AI-driven level addresses this by enabling move spectrum sharing, real-time optimization, and intelligent interference mitigation. These capabilities let operators to extract maximum worth from nan disposable spectrum—supporting much users, much devices, and much services without needing further bandwidth. As nan marketplace continues to grow, this benignant of intelligent guidance will beryllium nan cardinal to unlocking caller capacity and sustaining semipermanent growth.

Thank you for nan awesome interview, readers who wish to study much should sojourn Digital Global Systems.