3 common AI for networking concerns and how to tackle them
AI for networking is promising: automating routine tasks, predicting outages and issues, improving threat detection and response, and optimizing performance. Not only is AI for networking promising, it’s also fast becoming essential, as the sheer scale and complexity of modern networks becomes too much for humans to manually monitor, secure, and troubleshoot. Despite the necessity and benefits of AI for networking, however, there are some common concerns holding enterprises back — either from making the move to AI-powered management or from figuring out how to use it to its full potential. The most common concerns are around: Is the ROI compelling enough to proceed? Is the AI safe and ethically accountable? Is the AI able to integrate with current processes? In this paper, we explore some of these concerns in more detail, and offer considerations and recommendations for navigating them. With the right approach and guidance, organizations can more confidently move ahead in their journeys to using AI to streamline network operations.
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