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Scorm.biz > Blog > EdTech and Online Learning > EdTech Magazine > AI Tools Impact on Higher Ed IT: What Can We Expect?
AI Tools Impact on Higher Ed IT: What Can We Expect?
EdTech Magazine

AI Tools Impact on Higher Ed IT: What Can We Expect?

Scorm.biz Team
Last updated: 2024/07/19 at 9:49 AM
Scorm.biz Team Published July 19, 2024
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Adopting capacity at the edge is crucial in today’s distributed learning environment. It is not just about providing Wi-Fi access, but also ensuring remote access and security are adequately covered.

When it comes to data center workloads, such as learning, computer science, or experimenting, CIOs need to rethink their infrastructure. Network fabrics like the one offered by Extreme Networks enable scalable growth in data centers, allowing for effective convergence of student networks, research networks, and facilities management.

EDTECH: Are there other recommendations you have for future proofing these networks and data centers so they will be easier to scale whenever the next emerging tech is announced?

NISPEL: Scaling for Wi-Fi involves redesigning networks for the 6GHz band. Adaptability for future Wi-Fi standards like 6E, 7, or 8 is crucial. Implementing a specific refresh plan for high ed deployments with many access points is recommended to avoid technical debt and ensure continuous upgrades.

Network operations are moving towards automation in the cloud, providing scalability and capacity for changes. Higher ed institutions are also transitioning to cloud-based management and operations for increased efficiency.

With technologies like Fabric, capacity expansion in switching is made easier without the need for constant redesign. Extreme Networks provides a flexible architecture that offers significant advantages in scalability and flexibility.

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Scorm.biz Team July 19, 2024 July 19, 2024
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