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AI networking is reshaping network operations by automating processes, enhancing performance, and bolstering security. This innovative approach addresses the complexities and challenges of modern networks, such as performance issues and outages, which can lead to significant financial and reputational damage. By integrating AI technologies, networks can be configured, monitored, and troubleshot more effectively, paving the way for improved operational efficiency.
The concept of AI networking, coined by Gartner in 2023, focuses on automating day 2 operations, which include ongoing maintenance and resource allocation. Predictions indicate that by 2027, 90% of enterprises will leverage AI for these operations, significantly reducing management costs and improving network reliability. However, challenges such as inflated expectations and the need for new skills must be addressed to fully realize the potential of AI in networking.
• AI networking automates processes to enhance network performance and security.
• By 2027, 90% of enterprises will use AI for network operations.
AI networking integrates artificial intelligence into network management to automate operations and improve efficiency.
AIOps refers to the use of AI for IT operations, enhancing broader IT management through automation.
Self-healing networking describes networks that can autonomously address issues without human intervention.
CrowdStrike is known for its cybersecurity solutions, which highlight the importance of network reliability.
Gartner provides insights and predictions about AI networking trends and its impact on enterprises.
Nile offers network-as-a-service solutions, emphasizing the need for efficient data processing in AI networking.
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