Fernando Murias, Chairman and CEO of Digital International Methods (DGS) – Interview Sequence

Fernando joined Digital International Methods (DGS) in 2013 from PriceWaterhouseCoopers the place he held a number of management positions in each the USA and Latin America.

Fernando has been on the forefront of progressive funding fashions for modern know-how enterprise pursuits; novel partnership offers utilizing CAPEX-light buildings; and strategic imaginative and prescient of enterprise worth leveraging new applied sciences and working constructs. In his roles, Fernando has construct important enterprise enterprise worth utilizing distinctive mental property portfolios and rising improvements in knowledge, analytics and synthetic intelligence.

DGS is a next-gen software program platform for wi-fi deployments that characterizes the Radio Frequency atmosphere throughout a number of dimensions.

With visibility on the community edge, community operators can de-conflict RF environments, optimize spectrum sharing, and totally understand their 5G ambitions.

How does DGS’ RF Consciousness platform leverage AI to reinforce spectrum administration for satellite tv for pc operators?

At DGS, we’ve developed our RF Consciousness platform with one purpose in thoughts: to deliver intelligence and adaptableness to the best way spectrum is managed—particularly within the quickly evolving satellite tv for pc area. Our AI know-how allows satellite tv for pc operators to realize a real-time, complete view of spectrum utilization, detect and mitigate interference, and dynamically optimize community efficiency. In an area atmosphere that’s changing into more and more congested—notably with the rise of direct-to-device companies—our AI-powered platform ensures that spectrum is used effectively, interference is minimized, and repair reliability is maximized.

What particular AI strategies are utilized in RF Consciousness to investigate and mitigate interference in congested spectrum environments?

We leverage a mix of patented machine studying and autonomous inference strategies to investigate the RF atmosphere. Particularly, we use sample recognition and autonomous machine-to-machine inference fashions to detect interference signatures, classify sign varieties, and make suggestions to dynamically regulate community parameters akin to beamforming, frequency allocations, and energy ranges. This permits satellite tv for pc operators to reply in actual time to congestion and interference, making certain optimum efficiency even in crowded spectrum environments.

Are you able to clarify how AI-driven sample recognition improves sign high quality and community reliability in satellite tv for pc communications?

Sample recognition lies on the coronary heart of how we improve satellite tv for pc communications. Our platform identifies recurring interference occasions, sign degradation patterns, and different anomalies throughout greater than 50 sign traits. By studying from these patterns, our AI system can proactively optimize the community—adjusting parameters earlier than efficiency points come up. This not solely improves sign high quality but additionally will increase the reliability and availability of communications, which is crucial for enterprise, client, and particularly army purposes.

How does AI optimize on-board computing effectivity to cut back processing necessities for direct-to-device (D2D) satellite tv for pc hyperlinks?

Our patented AI strategies cut back the computational burden required to ascertain and preserve D2D hyperlinks by 25% to 40%. We accomplish this by streamlining the coaching units utilized by our AI fashions and making use of autonomous inference strategies that decrease the necessity for uncooked processing on-board the satellite tv for pc. This leads to decrease energy consumption, diminished thermal load, and longer satellite tv for pc lifespan—making our resolution not solely smarter however extra sustainable for space-based D2D companies.

What position does autonomous machine-to-machine inference play in DGS’ AI know-how for spectrum administration?

Autonomous machine-to-machine inference is a cornerstone of our know-how. With over 100 patents protecting this functionality (of our 320 issued patents), we’ve enabled our platform to function with out fixed human oversight. It will probably interpret spectrum utilization, detect anomalies, predict interference, and make real-time selections to optimize efficiency. This sort of clever autonomy is important for future satellite tv for pc networks, which should adapt rapidly and function reliably below extremely dynamic situations.

With the rising congestion in low Earth orbit (LEO), how does RF Consciousness guarantee uninterrupted and scalable satellite tv for pc communications?

LEO is changing into a bustling area—with hundreds of satellites and thousands and thousands of customers. Our RF Consciousness platform helps satellite tv for pc operators thrive on this atmosphere by delivering steady RF monitoring, interference mitigation, and dynamic spectrum optimization. By fine-tuning sign parameters in actual time and offering granular consciousness of spectrum situations, we empower operators to scale their companies with out compromising high quality or reliability. Briefly, we assist them navigate the congestion—and switch it into alternative.

How does AI-driven spectrum evaluation enhance situational consciousness and communications for army purposes?

In protection environments, communications reliability is usually a matter of life or demise. Our AI-powered spectrum evaluation allows army operators to keep up situational consciousness even in contested or degraded environments. By repeatedly analyzing the electromagnetic spectrum and detecting interference—together with potential jamming makes an attempt—our platform supplies actionable intelligence that enhances each resilience and tactical benefit. The power to autonomously detect, classify, and mitigate threats in actual time is a game-changer for contemporary army operations.

As AI turns into extra integral to satellite tv for pc operations, what future developments does DGS foresee in autonomous satellite tv for pc community administration?

We see a future the place satellite tv for pc networks function with minimal human intervention. Which means not solely self-optimizing efficiency and mitigating interference autonomously, but additionally autonomously provisioning companies, adjusting to regulatory adjustments, and even orchestrating satellite-to-terrestrial handoffs in actual time. Our know-how lays the inspiration for these developments—enabling clever, adaptive, and safe satellite tv for pc networks that scale with demand and function effectively throughout a number of domains.

How does AI-powered RF Consciousness help the combination of LEO satellites with terrestrial 5G networks?

Seamless integration between satellites and terrestrial 5G is important for extending protection and attaining true world connectivity. Our RF Consciousness platform ensures that satellite tv for pc techniques can coexist with terrestrial networks by dynamically managing spectrum, figuring out and mitigating cross-network interference, and optimizing sign traits for hybrid environments. That is particularly crucial in city and high-traffic areas the place spectrum use is dense and extremely variable.

In what methods can AI-driven RF spectrum administration assist tackle spectrum shortage within the increasing satellite tv for pc communications market?

Spectrum is a finite useful resource, and its environment friendly use is among the largest challenges going through our trade. Our AI-driven platform addresses this by enabling dynamic spectrum sharing, real-time optimization, and clever interference mitigation. These capabilities enable operators to extract most worth from the obtainable spectrum—supporting extra customers, extra gadgets, and extra companies while not having extra bandwidth. Because the market continues to develop, this sort of clever administration would be the key to unlocking new capability and sustaining long-term progress.

Thanks for the good interview, readers who want to study extra ought to go to Digital International Methods.