AiThority Interview with Jeff Geiser, VP of Customer Experience at Zenlayer

Jeff Geiser, VP of Customer Experience at Zenlayer discusses the role of AI and ML in cloud edge services, the convergence of AI and edge computing, the top challenges of implementing AI-powered edge solutions, and more in this catch-up.

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What are the top challenges of implementing AI-powered edge solutions in emerging markets, and how does Zenlayer address them?

Emerging markets face challenges such as limited infrastructure, high latency due to geographic constraints, unreliable connectivity, and the high cost of deploying AI-powered edge solutions.

Zenlayer addresses these challenges with its #1 Asia Fabric, which provides hyperconnected edge infrastructure optimized for AI applications. By deploying edge nodes closer to users, Zenlayer minimizes latency and ensures efficient data transfer, even in geographically remote areas. Our flexible, pay-as-you-go model lowers the cost barrier, while our intuitive SDN platform simplifies deployment and management, making advanced AI solutions more accessible in emerging markets.

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Tell us about the role that AI and ML play in the advancement of edge cloud services and SDN.

AI and ML are critical in advancing edge cloud services and SDN. They enable intelligent traffic routing, predictive maintenance, and adaptive scaling to meet fluctuating demand. For instance, machine learning models can predict network congestion and dynamically allocate resources to maintain optimal performance.

With Zenlayer’s #1 Asia Fabric, AI-powered monitoring is seamlessly integrated into the network, enabling real-time traffic analysis and intelligent routing across Asia’s most critical hubs. This ensures low-latency, high-bandwidth performance for latency-sensitive applications such as gaming and real-time analytics, advancing both edge cloud services and SDN capabilities.

What unique opportunities do you see for AI in revolutionizing digital experiences in underserved regions like South America and Africa?

AI has the potential to transform digital experiences in underserved regions by addressing infrastructure gaps and enabling new use cases, such as:

Personalized Education: AI-powered adaptive learning platforms can revolutionize education for students with limited access to resources.

Telemedicine: AI-driven diagnostics and remote healthcare solutions can extend quality medical care to rural areas.

Share a few examples of how the convergence of AI and edge computing is revolutionizing industries such as gaming, fintech, and healthcare.

Gaming: AI and edge computing enable low-latency, real-time interactions in cloud gaming. Zenlayer’s #1 Asia Fabric delivers ultra-responsive gameplay across key hubs, ensuring a seamless user experience.

Fintech: AI-powered fraud detection and real-time transaction processing benefit from the edge’s ability to process data locally. Zenlayer’s hyperconnected infrastructure ensures secure and fast financial operations.

Healthcare: AI-driven medical diagnostics and remote monitoring solutions are accelerated through edge computing. By leveraging Zenlayer’s low-latency network, healthcare providers can deliver quick and reliable telemedicine services.

If you were to predict one groundbreaking change AI will bring to edge computing in the next five years, what would it be?

One groundbreaking change will be the emergence of autonomous edge ecosystems, where AI-powered networks self-manage, optimize, and repair without human intervention. This will allow for faster deployment of edge solutions, especially in underserved regions, significantly reducing operational costs and enabling greater accessibility.

Zenlayer’s #1 Asia Fabric is uniquely positioned to lead this transformation. By combining intelligent SDN, edge cloud, and AI-ready infrastructure, we are creating a foundation for the next generation of digital innovation, supporting industries from gaming to healthcare with unparalleled reliability and performance.

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