Fernando joined Digital World Methods (DGS) in 2013 from PriceWaterhouseCoopers the place he held a number of management positions in each the US and Latin America.
Fernando has been on the forefront of modern funding fashions for modern expertise enterprise pursuits; novel partnership offers utilizing CAPEX-light constructions; 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 information, analytics and synthetic intelligence.
DGS is a next-gen software program platform for wi-fi deployments that characterizes the Radio Frequency surroundings throughout a number of dimensions.
With visibility on the community edge, community operators can de-conflict RF environments, optimize spectrum sharing, and totally notice 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 objective in thoughts: to convey intelligence and adaptableness to the way in which spectrum is managed—particularly within the quickly evolving satellite tv for pc area. Our AI expertise allows satellite tv for pc operators to achieve a real-time, complete view of spectrum utilization, detect and mitigate interference, and dynamically optimize community efficiency. In an area surroundings that’s turning 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 methods are utilized in RF Consciousness to investigate and mitigate interference in congested spectrum environments?
We leverage a mixture of patented machine studying and autonomous inference methods to investigate the RF surroundings. Particularly, we use sample recognition and autonomous machine-to-machine inference fashions to detect interference signatures, classify sign varieties, and make suggestions to dynamically alter community parameters similar to beamforming, frequency allocations, and energy ranges. This enables satellite tv for pc operators to reply in actual time to congestion and interference, guaranteeing 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 in addition will increase the reliability and availability of communications, which is important for enterprise, shopper, and particularly army purposes.
How does AI optimize on-board computing effectivity to scale back processing necessities for direct-to-device (D2D) satellite tv for pc hyperlinks?
Our patented AI methods scale 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 reduce the necessity for uncooked processing on-board the satellite tv for pc. This ends in decrease energy consumption, diminished thermal load, and longer satellite tv for pc lifespan—making our answer not solely smarter however extra sustainable for space-based D2D companies.
What position does autonomous machine-to-machine inference play in DGS’ AI expertise for spectrum administration?
Autonomous machine-to-machine inference is a cornerstone of our expertise. 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 could interpret spectrum utilization, detect anomalies, predict interference, and make real-time choices to optimize efficiency. This sort of clever autonomy is important for future satellite tv for pc networks, which should adapt shortly and function reliably underneath extremely dynamic circumstances.
With the rising congestion in low Earth orbit (LEO), how does RF Consciousness guarantee uninterrupted and scalable satellite tv for pc communications?
LEO is turning into a bustling area—with hundreds of satellites and tens of millions of customers. Our RF Consciousness platform helps satellite tv for pc operators thrive on this surroundings 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 circumstances, 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 take care of 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 flexibility 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 in addition autonomously provisioning companies, adjusting to regulatory adjustments, and even orchestrating satellite-to-terrestrial handoffs in actual time. Our expertise 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 assist the mixing of LEO satellites with terrestrial 5G networks?
Seamless integration between satellites and terrestrial 5G is important for extending protection and attaining true international 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 important 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 handle spectrum shortage within the increasing satellite tv for pc communications market?
Spectrum is a finite useful resource, and its environment friendly use is likely one of the largest challenges dealing with our business. Our AI-driven platform addresses this by enabling dynamic spectrum sharing, real-time optimization, and clever interference mitigation. These capabilities permit operators to extract most worth from the obtainable spectrum—supporting extra customers, extra gadgets, and extra companies with no need extra bandwidth. Because the market continues to develop, this type of clever administration would be the key to unlocking new capability and sustaining long-term development.
Thanks for the good interview, readers who want to study extra ought to go to Digital World Methods.