Supporting Advanced Teaching and Learning Models

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The transition to a unified infrastructure not only simplifies the management of a scaled network, but also helps educational centers improve the quality of education and operational efficiency.

Network Challenge #2:
As schools, colleges and universities embrace digital learning, IT leaders need to ensure that students have more devices connected, and create smart spaces to support greater interactivity and ensure cybersecurity on campus.

Against this backdrop, advanced technologies such kenya mobile database machine learning and artificial intelligence are becoming increasingly common. In addition, the use of analytics in learning has increased dramatically, especially in higher education. According to a 2020 Aruba study, 42% of education IT leaders had AI-powered applications in their arsenal even before the pandemic.

As the network is tasked with supporting increasingly complex technologies, cloud applications, and learning methods, competition for connections increases, and the volume and complexity of administration and troubleshooting increases.

Fortunately, artificial intelligence offers a solution in the form of intelligent IT operations management (AIOps), which can automate many of the day-to-day tasks faced by network administrators.