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Home » AI aiding network efficiency – News

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AI aiding network efficiency – News

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Last updated: 2024/08/15 at 2:28 PM
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Artificial Intelligence (AI) is revolutionizing the efficiency of networks, with a recent survey showing that it can boost network efficiency by 40% or more. This is achieved through AI’s ability to analyze and predict traffic patterns in real-time, allowing networks to dynamically allocate bandwidth where it’s most needed and prevent congestion before it occurs. AI-powered traffic and network analysis software play a key role in this, with 49% of respondents globally and 52% regionally (UAE, Saudi Arabia and Egypt) selecting it as a top strategy. By using machine learning algorithms, these tools can forecast high-traffic periods and adjust network parameters in real-time to ensure seamless data flow. Moreover, AI’s predictive maintenance capabilities can identify and resolve potential issues before they impact network performance, ensuring high reliability and user satisfaction.

Expanding the subsea cable network in the Middle East, specifically in the UAE and KSA, requires significant investments to support global connectivity and the growing digital economy. Saudi Arabia, for example, has announced investments exceeding 9 billion in its technology sector to support its digital transformation outlined in Saudi Vision 2030, including funding for connectivity infrastructure such as subsea cables. Ciena’s study reveals that key sectors like financial services, manufacturing, and education in the Middle East are expected to generate the most AI traffic, prompting communication service providers (CSPs) to expand subsea cable networks for high-speed data transmission across continents.

Ciena’s research also emphasizes the importance of the cloud in supporting and utilizing AI across networks in the Middle East. Forty percent of survey respondents believe that telcos will use a mix of private and public cloud providers to offer AI services to their customers. Factors such as data sensitivity, scalability, and availability can influence the decision between using a private or public cloud, with respondents in the region favoring a hybrid approach. This approach allows for a combination of security, flexibility, and performance for providing AI services to customers.

The study found that around 95% of survey respondents in the Middle East are confident in their ability to monetize AI. CSPs in the region are leveraging AI to open their networks to third-party integrations, create new product offerings, and differentiate on the quality of service for connectivity, all of which have the potential to generate increased revenues. Moving forward, AI will continue to play a crucial role in enhancing network efficiency, predicting traffic patterns, and ensuring seamless data flow across the Middle East. With substantial investments in technology and connectivity infrastructure, the region is poised to lead in AI innovation and digital transformation, supporting a growing digital economy and global connectivity.

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